Machine Learning - Cari Data Buku Books

Machine Learning - Cari Data Buku Books

 

Author(s)    Title    Publisher    Year

Funk, Burkhardt; Hoogendoorn, Mark    Cognitive systems monographs 35    Springer    2018
    Machine learning for the quantified self : on the art of learning from sensory data       
    978-3-319-66308-1, 3319663089, 978-3-319-66307-4       
Dunin-Barkowski, Witali; Kryzhanovsky, Boris; Redko, Vladimir    Studies in Computational Intelligence 736    Springer International Publishing : Imprint: Springer    2018
    Advances in Neural Computation, Machine Learning, and Cognitive Research : Selected Papers from the XIX International Conference on Neuroinformatics, October 2-6, 2017, Moscow, Russia       
    978-3-319-66604-4, 3319666045, 978-3-319-66603-7       
Mark Stamp    Introduction to Machine Learning with Applications in Information Security    CRC    2018
    978-1-138-62678-2       
Han Liu, Mihaela Cocea    Granular Computing based Machine Learning. A Big Data Processing Approach    Springer    2018
    978-3-319-70058-8       
Bashier, Eihab Bashier Mohammed; Khan, Muhammad Badruddin; Mohammed, Mohssen    Machine learning: algorithms and applications    CRC Press    2017
    9781315354415, 1315354411, 9781315371658, 1315371650, 9781498705394, 1498705391       
Thomas Duriez, Steven L. Brunton, Bernd R. Noack (auth.)    Fluid Mechanics and Its Applications 116    Springer International Publishing    2017
    Machine Learning Control – Taming Nonlinear Dynamics and Turbulence [1 ed.]       
    978-3-319-40624-4, 978-3-319-40623-7       
Dionisios N. Sotiropoulos, George A. Tsihrintzis (auth.)    Intelligent Systems Reference Library 118    Springer International Publishing    2017
    Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization [1 ed.]       
    978-3-319-47194-5, 978-3-319-47192-1       
Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro    Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning [1 ed.]    O’Reilly Media    2017
    1491963042, 9781491963043       
Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro    Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning [1 ed.]    O’Reilly Media    2017
    1491963042, 9781491963043       
Matthew Kirk    Thoughtful Machine Learning with Python A Test-Driven Approach    O'Reilly    2017
Matthew Kirk    Thoughtful Machine Learning with Python: A Test-Driven Approach [1 ed.]    O’Reilly Media    2017
    1491924136, 9781491924136       
Matthew Kirk    Thoughtful Machine Learning with Python: A Test-Driven Approach [1 ed.]    O’Reilly Media    2017
    1491924136, 9781491924136       
Matthew Kirk    Thoughtful Machine Learning with Python: A Test-Driven Approach [1 ed.]    O’Reilly Media    2017
    1491924136, 9781491924136       
Michael Paluszek, Stephanie Thomas (auth.)    MATLAB Machine Learning [1 ed.]    Apress    2017
    978-1-4842-2249-2, 978-1-4842-2250-8       
Karthik Ramasubramanian, Abhishek Singh (auth.)    Machine Learning Using R [1 ed.]    Apress    2017
    978-1-4842-2333-8, 978-1-4842-2334-5       
Jürgen Beyerer, Oliver Niggemann, Christian Kühnert (eds.)    Technologien für die intelligente Automation    Springer Vieweg    2017
    Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2016 [1 ed.]       
    978-3-662-53805-0, 978-3-662-53806-7       
Girolami, Mark; Rogers, Simon    Chapman & Hall/CRC machine learning & pattern recognition series    CRC Press    2017
    A first course in machine learning [Second edition]       
    978-1-4987-3856-9, 205-205-206-2, 9781498738545, 1498738540       
Pascal Bugnion, Patrick R. Nicolas, Alex Kozlov    Scala:Applied Machine Learning [1 ed.]    Packt Publishing    2017
    9.78179E+12       
Pascal Bugnion, Patrick R. Nicolas, Alex Kozlov    Scala:Applied Machine Learning [1 ed.]    Packt Publishing    2017
    9.78179E+12       
Aurélien Géron    Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems [1 ed.]    O’Reilly Media    2017
    1491962291, 9781491962299       
Aurélien Géron    Hands-On Machine Learning with Scikit-Learn and TensorFlow Concepts, Tools, and Techniques to Build Intelligent Systems [1 ed.]    O’Reilly Media    2017
    9781491962299, 1491962291       
Ethem Alpaydin    Machine Learning. The New AI    The MIT Press    2017
Parag Kulkarni    Reverse Hypothesis Machine Learning    Springer    2017
    978-3-319-55312-2       
Gerasimos G. Rigatos    State-Space Approaches for Modelling and Control in Financial Engineering: Systems Theory and Machine Learning Methods    Springer    2017
    978-3-319-52866-3       
Claude Sammut, Geoffrey I. Webb (eds.)    Encyclopedia of Machine Learning and Data Mining [2 ed.]    Springer    2017
    978-1-4899-7687-1       
Atul Tripathi    Practical machine learning cookbook    Packt Publishing    2017
    9.78179E+12       
Huang Xin-lin (eds.)    Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 183    Springer International Publishing    2017
    Machine Learning and Intelligent Communications: First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers [1 ed.]       
    978-3-319-52729-1, 978-3-319-52730-7       
Frenzel, John C.; Natarajan, Prashant; Smaltz, Detlev Herb    Himss Book    CRC Press, Taylor & Francis    2017
    Demystifying big data and machine learning for healthcare [1 ed.]       
    1138032638, 978-1-138-03263-7, 9781315389325, 1315389320       
Aurélien Géron    Hands-on Machine Learning with Scikit-Learn and TensorFlow    O’Reilly    2017
    978-1-491-96229-9       
Aurélien Géron    Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems [1 edition]    O’Reilly Media    2017
    1491962291, 978-1491962299       
Alboukadel Kassambara    Multivariate Analysis 1    STHDA    2017
    Practical Guide to Cluster Analysis in R. Unsupervised Machine Learning       
Alboukadel Kassambara    Practical Guide to Cluster Analysis in R. Unsupervised Machine Learning    sthda.com    2017
N.D. Lewis    Machine Learning made easy with R    N.D. Lewis    2017
    978-1546483755       
Nikhil Buduma, Nicholas Locascio    Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms [1 ed.]    O’Reilly Media    2017
    1491925612, 9781491925614       
Nick McClure    TensorFlow Machine Learning Cookbook    Packt Publishing    2017
    978-1-78646-216-9       
Zhiyuan Chen, Bing Liu    Lifelong Machine Learning    Morgan & Claypool    2017
    9.78163E+12       
Manohar Swamynathan    Mastering Machine Learning with Python in six Steps    Apress    2017
    978-1-4842-2866-1       
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal    Data Mining. Practical Machine Learning Tools and Techniques [4 ed.]    Morgan Kaufmann    2017
    978-0-12-804291-5       
Claude Sammut, Geoffrey I. Webb    Encyclopedia of Machine Learning and Data Mining [2nd Edition]    Springer    2017
Phil Kim    MatLab Deep Learning with Machine Learning, Neural Networks and Artificial Intelligence    Apress    2017
    978-1-4842-2845-6       
Phil Kim (auth.)    MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence [1 ed.]    Apress    2017
    978-1-4842-2844-9, 978-1-4842-2845-6       
Manohar Swamynathan (auth.)    Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python [1 ed.]    Apress    2017
    978-1-4842-2865-4, 978-1-4842-2866-1       
Gerasimos G. Rigatos (auth.)    Intelligent Systems Reference Library 125    Springer International Publishing    2017
    State-Space Approaches for Modelling and Control in Financial Engineering: Systems theory and machine learning methods [1 ed.]       
    978-3-319-52865-6, 978-3-319-52866-3       
Demian Battaglia, Isabelle Guyon, Vincent Lemaire, Javier Orlandi, Bisakha Ray, Jordi Soriano (eds.)    The Springer Series on Challenges in Machine Learning    Springer International Publishing    2017
    Neural Connectomics Challenge [1 ed.]       
    978-3-319-53069-7, 978-3-319-53070-3       
Parag Kulkarni (auth.)    Intelligent Systems Reference Library 128    Springer International Publishing    2017
    Reverse Hypothesis Machine Learning : A Practitioner's Perspective [1 ed.]       
    978-3-319-55311-5, 978-3-319-55312-2       
Shlomi Dolev, Sachin Lodha (eds.)    Lecture Notes in Computer Science 10332    Springer International Publishing    2017
    Cyber Security Cryptography and Machine Learning: First International Conference, CSCML 2017, Beer-Sheva, Israel, June 29-30, 2017, Proceedings [1 ed.]       
    978-3-319-60079-6, 978-3-319-60080-2       
Haibin Yan, Jiwen Lu (auth.)    SpringerBriefs in Computer Science    Springer Singapore    2017
    Facial Kinship Verification: A Machine Learning Approach [1 ed.]       
    978-981-10-4483-0, 978-981-10-4484-7       
N D Lewis    Machine Learning Made Easy with R. An Intuitive Step by Step Blueprint for Beginners    CreateSpace Independent    2017
Manohar Swamynathan    Mastering Machine Learning with Python in Six Steps: A Practical Implementation Guide to Predictive Data Analytics Using Python [1st ed.]    Apress    2017
    1484228650, 9781484228654       
Mohssen Mohammed, Muhammad Badruddin Khan, Eihab Bashier Mohammed Bashier    Machine Learning. Algorithms and Applications    CRC    2017
    9.7815E+12       
Dr. Sergio Escalera, Dr. Isabelle Guyon, Vassilis Athitsos (eds.)    The Springer Series on Challenges in Machine Learning    Springer International Publishing    2017
    Gesture Recognition [1 ed.]       
    978-3-319-57020-4, 978-3-319-57021-1       
Dylan D. Schmorrow, Cali M. Fidopiastis (eds.)    Lecture Notes in Computer Science 10284    Springer International Publishing    2017
    Augmented Cognition. Neurocognition and Machine Learning: 11th International Conference, AC 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part I [1 ed.]       
    978-3-319-58627-4, 978-3-319-58628-1       
Nikhil Buduma, Nicholas Locascio    Fundamentals of Deep Learning: Designing Next-Generation Machine Intelligence Algorithms    O’Reilly Media    2017
    1491925612, 9781491925614       
Christine Owen    Ghosts in the Machine: Rethinking Learning Work and Culture in Air Traffic Control    CRC Press    2017
    1409452905, 9781409452904       
Pedro Domingos    O Algoritmo Mestre - Como a busca pelo algoritmo de machine learning definitivo recriará nosso mundo    Novatec    2017
    8575225383, 9788575225387, 9788575225424       
Matthew Kirk    Thoughtful Machine Learning with Python: A Test-Driven Approach    O’Reilly    2017
    978-1-491-92413-6       
Miroslav Kubat    An Introduction to Machine Learning [2 ed.]    Springer    2017
    978-3-319-63913-0, 978-3-319-63912-3       
Miroslav Kubat    An Introduction to Machine Learning [2nd ed.]    Springer    2017
    3319639129, 978-3319639123       
Andreas Holzinger    Machine Learning and Knowledge Extraction. First IFIP TC 5, WG 8.4, 8.9, 12.9 International Cross-Domain Conference, CD-MAKE 2017, Reggio, Italy    Springer    2017
Giuseppe Bonaccorso    Machine Learning Algorithms    Packt    2017
    978-1-78588-962-2       
Norman Matloff    Chapman & Hall/CRC Texts in Statistical Science    Chapman and Hall/CRC    2017
    Statistical Regression and Classification: From Linear Models to Machine Learning       
    1498710913, 9781498710916       
Atul Tripathi    Practical Machine Learning Cookbook    Packt Publishing    2017
    1785280511, 9781785280511       
Alex Tellez, Max Pumperla, Michal Malohlava    Mastering Machine Learning with Spark 2.x    Packt Publishing    2017
    1785283456, 9781785283451       
Mark Hoogendoorn, Burkhardt Funk    Machine Learning for the Quantified Self. On the Art of Learning from Sensory Data    Springer    2017
    978-3-319-66308-1       
Sebastian Raschka, Vahid Mirjalili    Python Machine Learning [2nd ed.]    Packt Publishing    2017
    1787125939, 9781787125933       
Sebastian Raschka, Vahid Mirjalili    Python Machine Learning [2nd ed]    Packt Publishing    2017
Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen Mei    Apache Spark 2.x Machine Learning Cookbook    Packt Publishing    2017
    1783551607, 9781783551606       
Perner, Petra    Lecture notes in computer science. Lecture notes in artificial intelligence ; 10358.; LNCS sublibrary. SL 7, Artificial intelligence    Springer    2017
    Machine learning and data mining in pattern recognition : 13th International Conference, MLDM 2017, New York, NY, USA, July 15-20, 2017, Proceedings       
    978-3-319-62416-7, 3319624164, 978-3-319-62415-0, 147-163-176-1       
Kubát, Miroslav    An Introduction to Machine Learning [2nd ed.]    Springer International Publishing : Imprint: Springer    2017
    978-3-319-63913-0, 3319639137, 978-3-319-63912-3       
Shi, Yinghuan; Suk, Heung-Il; Suzuki, Kenji; Wang, Qian    Lecture notes in computer science 10541.; LNCS sublibrary. SL 6, Image processing computer vision pattern recognition and graphics    Springer    2017
    Machine learning in medical imaging : 8th International Workshop, MLMI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings       
    978-3-319-67389-9, 3319673890, 978-3-319-67388-2       
Mark Stamp    Chapman & Hall/CRC Machine Learning & Pattern Recognition    Chapman and Hall / CRC    2017
    Introduction to Machine Learning with Applications in Information Security [1 ed.]       
    1138626783, 9781138626782       
Phil Kim    MATLAB Deep Learning: With Machine Learning, Neural Networks and Artificial Intelligence [1st ed.]    Apress    2017
    1484228448, 9781484228449       
Danish Haroon    Python Machine Learning Case Studies: Five Case Studies for the Data Scientist [1 ed.]    Apress    2017
    1484228227, 9781484228227       
Danish Haroon    Python Machine Learning Case Studies    Apress    2017
    978-1-4842-2823-4       
Theobald, Oliver    Machine Learning for Absolute Beginners        2017
Andreas C. Müller, Sarah Guido    Introduction to Machine Learning with Python: A Guide for Data Scientists [1 ed.]    O’Reilly Media    2016
    1449369413, 9781449369415       
Shan Suthaharan (auth.)    Integrated Series in Information Systems 36    Springer US    2016
    Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning [1 ed.]       
    978-1-4899-7640-6, 978-1-4899-7641-3       
Thiago Christiano Silva, Liang Zhao    Machine Learning in Complex Networks [1 ed.]    Springer    2016
    3319172891, 9783319172897       
Thiago Christiano Silva, Liang Zhao (auth.)    Machine Learning in Complex Networks [1 ed.]    Springer International Publishing    2016
    978-3-319-17289-7, 978-3-319-17290-3       
Martin Atzmueller, Alvin Chin, Frederik Janssen, Immanuel Schweizer, Christoph Trattner (eds.)    Lecture Notes in Computer Science 9546    Springer International Publishing    2016
    Big Data Analytics in the Social and Ubiquitous Context: 5th International Workshop on Modeling Social Media, MSM 2014, 5th International Workshop on Mining Ubiquitous and Social Environments, MUSE 2014, and First International Workshop on Machine Learning for Urban Sensor Data, SenseML 2014, Revised Selected Papers [1 ed.]       
    978-3-319-29008-9, 978-3-319-29009-6       
James Eric Mason, Issa Traoré, Isaac Woungang (auth.)    Machine Learning Techniques for Gait Biometric Recognition: Using the Ground Reaction Force [1 ed.]    Springer International Publishing    2016
    978-3-319-29086-7, 978-3-319-29088-1       
Oliver Niggemann, Jürgen Beyerer (eds.)    Technologien für die intelligente Automation    Springer Vieweg    2016
    Machine Learning for Cyber Physical Systems: Selected papers from the International Conference ML4CPS 2015 [1 ed.]       
    978-3-662-48836-2, 978-3-662-48838-6       
Frédéric Magoules, Hai-Xiang Zhao    Iste    Wiley-ISTE    2016
    Data Mining and Machine Learning in Building Energy Analysis: Towards High Performance Computing [1 ed.]       
    978-1-84821-422-4, 1848214227       
David Julian    Designing Machine Learning Systems with Python    Packt Publishing    2016
    1785882953, 9781785882951       
David Julian    Designing Machine Learning Systems with Python    Packt Publishing    2016
    1785882953, 9781785882951       
David Julian    Designing Machine Learning Systems with Python    Packt Publishing    2016
    1785882953, 9781785882951       
Achim Zielesny    Intelligent Systems Reference Library 109    Springer    2016
    From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence [2 ed.]       
    3319325442, 9783319325446, 9783319325453       
Sugiyama, Masashi    Introduction to Statistical Machine Learning [1 ed.]    Morgan Kaufmann    2016
    0128021217, 978-0-12-802121-7, 9780128023501, 0128023503, 162-169-169-1, 199-200-200-2       
Zhou, S. Kevin    Elsevier and MICCAI Society book series    Elsevier, Academic Press    2016
    Medical image recognition, segmentation and parsing : machine learning and multiple object approaches [1 ed.]       
    0128025816, 978-0-12-802581-9, 9780128026762, 0128026766       
John Paul Mueller, Luca Massaron    Computer/Tech    For Dummies    2016
    Machine Learning For Dummies [1 ed.]       
    1119245516, 9781119245513       
David Julian    Designing Machine Learning Systems with Python: Design efficient machine learning systems that give you more accurate results    Packt Publishing    2016
    978-1-78588-295-1       
Sudipta Mukherjee    F# for Machine Learning Essentials: Get up and running with machine learning with F# in a fun and functional way    Packt Publishing    2016
    978-1-78398-934-8       
Andreas C. Mueller, Sarah Guido    Introduction to Machine Learning with Python: A Guide for Data Scientists    O'Reilly Media    2016
    978-1-44936-941-5       
Rik Goldman    Learning Proxmox VE: Unleash the power of Proxmox VE by setting up a dedicated virtual environment to serve both containers and virtual machines    Packt Publishing    2016
    978-1-78398-178-6       
Davy Cielen, Arno Meysman, Mohamed Ali    Introducing Data Science: Big Data, Machine Learning, and more, using Python tools [1 ed.]    Manning Publications    2016
    1633430030, 9781633430037       
Davy Cielen, Arno Meysman, Mohamed Ali    Introducing Data Science: Big Data, Machine Learning, and more, using Python tools [1 ed.]    Manning Publications    2016
    1633430030, 9781633430037       
Unknown    Natural Language Processing in Python: Master Data Science and Machine Learning for spam detection, sentiment analysis, latent semantic analysis, and article spinning (Machine Learning in Python)    LazyProgrammer    2016
Unknown    Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python)    LazyProgrammer    2016
Unknown    Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis    LazyProgrammer    2016
José Unpingco (auth.)    Python for Probability, Statistics, and Machine Learning [1 ed.]    Springer International Publishing    2016
    978-3-319-30715-2, 978-3-319-30717-6       
           
           
Author(s)    Title    Publisher    Year
Ping Jack Soh, Wai Lok Woo, Hamzah Asyrani Sulaiman, Mohd Azlishah Othman, Mohd Shakir Saat (eds.)    Lecture Notes in Electrical Engineering 387    Springer International Publishing    2016
    Advances in Machine Learning and Signal Processing: Proceedings of MALSIP 2015 [1 ed.]       
    978-3-319-32212-4, 978-3-319-32213-1       
Achim Zielesny (auth.)    Intelligent Systems Reference Library 109    Springer International Publishing    2016
    From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence [2 ed.]       
    978-3-319-32544-6, 978-3-319-32545-3       
Oliver Kramer (auth.)    Studies in Big Data 20    Springer International Publishing    2016
    Machine Learning for Evolution Strategies [1 ed.]       
    978-3-319-33381-6, 978-3-319-33383-0       
Petra Perner (eds.)    Lecture Notes in Computer Science 9729    Springer International Publishing    2016
    Machine Learning and Data Mining in Pattern Recognition: 12th International Conference, MLDM 2016, New York, NY, USA, July 16-21, 2016, Proceedings [1 ed.]       
    978-3-319-41919-0, 978-3-319-41920-6       
Roman Feldbauer (auth.)    BestMasters    Springer Spektrum    2016
    Machine Learning for Microbial Phenotype Prediction [1 ed.]       
    978-3-658-14318-3, 978-3-658-14319-0       
LazyProgrammer    Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow    LazyProgrammer    2016
Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli    TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms    Bleeding Edge Press    2016
    978-1-939902-35-1       
Sam Abrahams, Danijar Hafner, Erik Erwitt, Ariel Scarpinelli    TensorFlow for Machine Intelligence: A Hands-On Introduction to Learning Algorithms    Bleeding Edge Press    2016
    978-1-939902-35-1       
Andreas C. Mueller, Sarah Guido    Introduction to Machine Learning with Python: A Guide for Data Scientists [early access ed.]    O’Reilly Media    2016
    978-1-44936-941-5       
Andreas C. Müller, Sarah Guido    Introduction to Machine Learning with Python: A Guide for Data Scientists [1 ed.]    O’Reilly Media    2016
    1449369413, 9781449369415       
Andreas C. Müller, Sarah Guido    Introduction to Machine Learning with Python: A Guide for Data Scientists [1 ed.]    O’Reilly Media    2016
    1449369413, 9781449369415       
Henrik Brink, Joseph Richards, Mark Fetherolf    Real-World Machine Learning [1 ed.]    Manning Publications    2016
    1617291927, 9781617291920       
Henrik Brink, Joseph Richards, Mark Fetherolf    Real-World Machine Learning [1 ed.]    Manning Publications    2016
    1617291927, 9781617291920       
Achim Zielesny    Intelligent Systems Reference Library 109    Springer    2016
    From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence [2 ed.]       
    3319325442, 9783319325446       
Andreas C. Müller, Sarah Guido    Introduction to Machine Learning with Python: A Guide for Data Scientists [1 ed.]    O’Reilly Media    2016
    1449369413, 9781449369415       
Thomas Duriez, Steven L. Brunton, Bernd R. Noack    Machine Learning Control – Taming Nonlinear Dynamics and Turbulence    Springer    2016
Helen Edwards    How Machines Learn: An Illustrated Guide to Machine Learning    Intelligentsia Research    2016
Peter Leow    Genetic Algorithms Demystified: Unravel the Myths and Power of Genetic Algorithms in Machine Learning    Peter Leow    2016
Guorong Wu, Dinggang Shen, Mert Sabuncu    Elsevier and Micca Society    Academic Press    2016
    Machine Learning and Medical Imaging [1 ed.]       
    0128040769, 978-0-12-804076-8, 9780128041147, 0128041145       
Prateek Joshi    Python Real World Machine Learning    Packt Publishing    2016
M.N. Murty, Rashmi Raghava (auth.)    SpringerBriefs in Computer Science    Springer International Publishing    2016
    Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks [1 ed.]       
    978-3-319-41062-3, 978-3-319-41063-0       
Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero (eds.)    Lecture Notes in Computer Science 9886    Springer International Publishing    2016
    Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part I [1 ed.]       
    978-3-319-44777-3, 978-3-319-44778-0       
Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero (eds.)    Lecture Notes in Computer Science 9887    Springer International Publishing    2016
    Artificial Neural Networks and Machine Learning – ICANN 2016: 25th International Conference on Artificial Neural Networks, Barcelona, Spain, September 6-9, 2016, Proceedings, Part II [1 ed.]       
    978-3-319-44780-3, 978-3-319-44781-0       
Irina Rish, Georg Langs, Leila Wehbe, Guillermo Cecchi, Kai-min Kevin Chang, Brian Murphy (eds.)    Lecture Notes in Computer Science 9444    Springer International Publishing    2016
    Machine Learning and Interpretation in Neuroimaging: 4th International Workshop, MLINI 2014, Held at NIPS 2014, Montreal, QC, Canada, December 13, 2014, Revised Selected Papers [1 ed.]       
    978-3-319-45173-2, 978-3-319-45174-9       
Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl (eds.)    Lecture Notes in Computer Science 9817    Springer International Publishing    2016
    Availability, Reliability, and Security in Information Systems: IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings       
    978-3-319-45506-8, 978-3-319-45507-5       
Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken (eds.)    Lecture Notes in Computer Science 9851    Springer International Publishing    2016
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I [1 ed.]       
    978-3-319-46127-4, 978-3-319-46128-1       
Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp (eds.)    Lecture Notes in Computer Science 9853    Springer International Publishing    2016
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III [1 ed.]       
    978-3-319-46130-4, 978-3-319-46131-1       
Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken (eds.)    Lecture Notes in Computer Science 9852    Springer International Publishing    2016
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part II [1 ed.]       
    978-3-319-46226-4, 978-3-319-46227-1       
Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk (eds.)    Lecture Notes in Computer Science 10019    Springer International Publishing    2016
    Machine Learning in Medical Imaging: 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings       
    978-3-319-47156-3, 978-3-319-47157-0       
LazyProgrammer    Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python)    LazyProgrammer    2016
LazyProgrammer    Deep Learning: Recurrent Neural Networks in Python: LSTM, GRU, and more RNN machine learning architectures in Python and Theano (Machine Learning in Python)    LazyProgrammer    2016
LazyProgrammer    Machine Learning in Python    LazyProgrammer    2016
    Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano       
LazyProgrammer    Machine Learning in Python    LazyProgrammer    2016
    Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano       
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal    Morgan Kaufmann Series in Data Management Systems    Morgan Kaufmann    2016
    Data Mining: Practical Machine Learning Tools and Techniques [4 ed.]       
    0128042915, 9780128042915       
Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal    Morgan Kaufmann Series in Data Management Systems    Morgan Kaufmann    2016
    Data Mining: Practical Machine Learning Tools and Techniques [4 ed.]       
    0128042915, 9780128042915       
Akansu, Ali N.; Kulkarni, Sanjeev; Malioutov, Dmitry    Financial signal processing and machine learning    Wiley : IEEE Press    2016
    9781118745540, 111874554X, 9781118745632, 1118745639       
Bastiaan Sjardin, Luca Massaron, Alberto Boschetti    Large Scale Machine Learning with Python    Packt Publishing    2016
    1785887211, 9781785887215       
Bastiaan Sjardin, Luca Massaron, Alberto Boschetti    Large Scale Machine Learning with Python    Packt Publishing    2016
    1785887211, 9781785887215       
Bastiaan Sjardin, Luca Massaron, Alberto Boschetti    Large Scale Machine Learning with Python    Packt Publishing    2016
    1785887211, 9781785887215       
Beyerer Jürgen, Niggemann Oliver, Kühnert Christian (eds.)    Technologies for Intelligent Automation    Springer    2016
    Machine Learning for Cyber Physical Systems       
Dionysios Sotiropoulos, George A. Tsihrintzis    Machine Learning Paradigms Artificial Immune Systems and their Applications in Software Personalization    Springer    2016
Rodolfo Bonnin    Building Machine Learning Projects with TensorFlow    Packt Publishing    2016
    1786466589, 9781786466587       
Viswa Viswanathan et al.    R: Recipes for Analysis, Visualization and Machine Learning    Packt Publishing    2016
Ali N. Akansu, Sanjeev R. Kulkarni, Dmitry M. Malioutov    Financial Signal Processing and Machine Learning [1 ed.]    Wiley-IEEE Press    2016
    1118745671, 9781118745670       
Davy Cielen, Arno Meysman, Mohamed Ali    Introducing Data Science: Big Data, Machine Learning and More, Using Python tools [1 ed.]    Manning Publications    2016
    1633430030, 9781633430037       
Jeremy Watt, Reza Borhani, Aggelos Katsaggelos    Machine Learning Refined: Foundations, Algorithms, and Applications [1 ed.]    Cambridge University Press    2016
    1107123526, 9781107123526       
Jeremy Watt, Reza Borhani, Aggelos Katsaggelos    Machine Learning Refined: Foundations, Algorithms, and Applications [1 ed.]    Cambridge University Press    2016
    1107123526, 9781107123526       
Andreas Holzinger (eds.)    Lecture Notes in Computer Science 9605    Springer International Publishing    2016
    Machine Learning for Health Informatics: State-of-the-Art and Future Challenges [1 ed.]       
    978-3-319-50477-3, 978-3-319-50478-0       
Bertolo, David    Information Systems, Web and Pervasive Computing: Human-Machine Interaction    Wiley-ISTE    2016
    Interactions on Digital Tablets in the Context of 3D Geometry Learning: Contributions and Assessments [1 ed.]       
    1848219261, 978-1-84821-926-7       
Gaudiello, Ilaria; Zibetti, Elisabetta    Human-machine interaction set 3    Wiley-ISTE    2016
    Learning robotics, with robotics, by robotics: educational robotics [1 ed.]       
    1786300990, 978-1-78630-099-7, 9781119335733, 1119335736, 9781119335740, 1119335744       
Darren Cook    Practical Machine Learning with H2O: Powerful, Scalable Techniques for Deep Learning and AI [1 ed.]    O’Reilly Media    2016
    149196460X, 9781491964606       
Panos M. Pardalos, Piero Conca, Giovanni Giuffrida, Giuseppe Nicosia (eds.)    Lecture Notes in Computer Science 10122    Springer International Publishing    2016
    Machine Learning, Optimization, and Big Data: Second International Workshop, MOD 2016, Volterra, Italy, August 26-29, 2016, Revised Selected Papers [1 ed.]       
    978-3-319-51468-0, 978-3-319-51469-7       
Moses, Alan    Chapman and Hall/CRC mathematical & computational biology series    Chapman and Hall/CRC    2016
    Statistical modeling and machine learning for molecular biology       
    4778632281, 978-1-4822-5859-2, 1482258595, 9781482258608, 1482258609, 9781482258615, 1482258617, 9781482258622, 1482258625       
Jeremy Watt, Reza Borhani, Aggelos K. Katsaggelos    Machine Learning Refined: Foundations, Algorithms, and Applications [1st ed.]    Cambridge University Press    2016
    1107123526, 9781107123526       
Ethem Alpaydın.    Machine Learning. The new AI    MIT    2016
    9.78026E+12       
Raghav Bali, Dipanjan Sarkar    R Machine Learning by Example    Packt    2016
    978-1-78439-084-6       
Jamie Dixon    Mastering .NET Machine Learning    Packt    2016
    978-1-78588-840-3       
Henrik Brink, Joseph Richards, Mark Fetherolf    Real-World Machine Learning [1 ed.]    Manning Publications    2016
    1617291927, 9781617291920       
Ian Goodfellow, Yoshua Bengio, Aaron Courville    Adaptive Computation and Machine Learning series    The MIT Press    2016
    Deep Learning [Draft ed.]       
    0262035618, 9780262035613       
Rodolfo Bonnin    Building Machine Learning Projects with TensorFlow    Packt    2016
    978-1-78646-658-7       
Alex Liu    Apache Spark Machine Learning Blueprints    Packt    2016
    978-1-78588-039-1       
Bostjan Kaluza    Machine Learning in Java    Packt Publishing    2016
    1784396583, 9781784396589       
Viswa Viswanathan, Shanthi Viswanathan    R: Recipes for Analysis Visualization and Machine Learning    Packt    2016
    978-1-78728-959-8       
Prateek Joshi    Python Machine Learning Cookbook    Packt    2016
    978-1-78646-447-7       
Oliver Kramer    Machine Learning for Evolution Strategies    Springer    2016
    978-3-319-33383-0       
Helen Edwards    How Machines Learn An Illustrated Guide to Machine Learning    Amazon Digital Services LLC    2016
Andreas C. Muller, Sarah Guido    Introduction to Machine Learning with Python A Guide for Data Scientists    O'Reilly Media    2016
Henrik Brink, Joseph Richards, Mark Fetherolf    Real-World Machine Learning    Manning Publications    2016
Liang Zhao, Thiago Christiano Silva    Machine Learning in Complex Networks    Springer    2016
Jose Unpingco    Python for Probability, Statistics, and Machine Learning    Springer    2016
Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser    Chapman & Hall/CRC Data Mining and Knowledge Discovery Series    Chapman and Hall/CRC    2016
    Petascale analytics : large-scale machine learning in the earth sciences [1 ed.]       
    978-1-4987-0387-1, 1498703879       
Gollapudi, Sunila    Community experience distilled    Packt Publishing - ebooks Account    2016
    Practical machine learning : tackle the real-world complexities of modern machine learning with innovative and cutting-edge techniques       
    978-1-78439-968-9, 178439968X       
Karim, M.R.;Kaysar, M.    Large Scale Machine Learning with Spark    Packt Publishing, Limited    2016
    1785888749, 9781785888748       
Scott Hartshorn    Machine Learning With Random Forests And Decision Trees: A Visual Guide For Beginners        2016
Andrea Isoni    Machine Learning for the Web    Packt Publishing    2016
    1785886606, 9781785886607       
Zhou S. Kevin    Medical image recognition, segmentation and parsing : machine learning and multiple object approaches        2016
Ethem Alpaydin    The MIT Press Essential Knowledge series    The MIT Press    2016
    Machine Learning: The New AI       
    0262529513, 9780262529518       
Masashi Sugiyama    Introduction to Statistical Machine Learning [1 ed.]    Morgan Kaufmann Publishers    2016
    0128021217, 978-0-12-802121-7, 9780128023501, 0128023503, 162-169-169-1, 199-200-200-2       
M.N. Murty, Rashmi Raghava    SpringerBriefs in Computer Science    Springer International Publishing    2016
    Support Vector Machines and Perceptrons: Learning, Optimization, Classification, and Application to Social Networks [1st ed.]       
    3319410628, 978-3-319-41062-3, 978-3-319-41063-0, 3319410636       
Achim Zielesny    Intelligent Systems Reference Library 109    Springer    2016
    From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence [2ed.]       
    3319325442, 978-3-319-32544-6, 978-3-319-32545-3, 3319325450       
Bengio, Yoshua; Courville, Aaron; Goodfellow, Ian J    Adaptive Computation and Machine Learning series    The MIT Press    2016
    Deep learning: adaptive computation and machine learning       
    0262035618, 9780262035613       
Rodolfo Bonnin    Building Machine Learning Projects with TensorFlow    Packt Publishing    2016
    1786466589, 9781786466587       
Prateek Joshi et al.    Python: Real World Machine Learning    Packt Publishing    2016
Raghav Bali, Dipanjan Sarkar    R Machine Learning By Example    Packt Publishing    2016
    1784390844, 9781784390846       
Simon Rogers, Mark Girolami    Machine Learning & Pattern Recognition    Chapman and Hall/CRC    2016
    A First Course in Machine Learning [2 ed.]       
    1498738486, 9781498738484       
Noel Lopes, Bernardete Ribeiro (auth.)    Studies in Big Data 7    Springer International Publishing    2015
    Machine Learning for Adaptive Many-Core Machines - A Practical Approach [1 ed.]       
    978-3-319-06937-1, 978-3-319-06938-8       
Masashi Sugiyama    Statistical Reinforcement Learning: Modern Machine Learning Approaches [1 ed.]    Chapman and Hall/CRC    2015
    1439856893, 9781439856895       
Michael Bowles    Machine Learning in Python: Essential Techniques for Predictive Analysis [1 ed.]    Wiley    2015
    1118961749, 9781118961742       
Ton J. Cleophas, Aeilko H. Zwinderman (auth.)    Machine Learning in Medicine - a Complete Overview [1 ed.]    Springer International Publishing    2015
    978-3-319-15194-6, 978-3-319-15195-3       
Sugiyama, Masashi    Chapman & Hall/CRC Machine Learning & Pattern Recognition    CRC Press    2015
    Statistical Reinforcement Learning: Modern Machine Learning Approaches       
    9781439856895, 9781439856901, 1439856907       
Luis Pedro Coelho, Willi Richert    Building Machine Learning Systems with Python [2nd Revised edition]    Packt Publishing    2015
    1784392774, 9781784392772       
Luis Pedro Coelho, Willi Richert    Building Machine Learning Systems with Python [2nd Revised edition]    Packt Publishing    2015
    1784392774, 9781784392772       
Daniel Gartner    Lecture Notes in Economics and Mathematical Systems 674    Springer International Publishing    2015
    Optimizing Hospital-wide Patient Scheduling: Early Classification of Diagnosis-related Groups Through Machine Learning [2014 ed.]       
    3319040650, 978-3-319-04065-3, 978-3-319-04066-0       
Sergios Theodoridis    .Net Developers    Academic Press    2015
    Machine Learning: A Bayesian and Optimization Perspective [1 ed.]       
    0128015225, 9780128015223       
Yu-Wei, Chiu (David Chiu)    Machine Learning With R Cookbook    Packt Publishing - ebooks Account    2015
    1783982047, 9781783982042       
Yu-Wei, Chiu (David Chiu)    Machine Learning With R Cookbook    Packt Publishing - ebooks Account    2015
    1783982047, 9781783982042       
Stephen F. Elston    Data Science in the Cloud: with Microsoft Azure Machine Learning and R    O'Reilly Media    2015
    978-1-491-91959-0       
Sergios Theodoridis    Net Developers    Academic Press    2015
    Machine Learning: A Bayesian and Optimization Perspective [1 ed.]       
    0128015225, 9780128015223       
Ella Bingham, Samuel Kaski, Jorma Laaksonen, Jouko Lampinen    Advances in Independent Component Analysis and Learning Machines [1 ed.]    Academic Press    2015
    0128028068, 9780128028063       
Mariette Awad, Rahul Khanna (auth.)    Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers    Apress    2015
    978-1-4302-5989-3, 978-1-4302-5990-9       
           
           
Author(s)    Title    Publisher    Year
Mathias Brandewinder (auth.)    Machine Learning Projects for .NET Developers    Apress    2015
    978-1-4302-6767-6, 978-1-4302-6766-9       
Valliappa Lakshmanan, Eric Gilleland, Amy McGovern, Martin Tingley (eds.)    Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate Informatics [1 ed.]    Springer International Publishing    2015
    978-3-319-17219-4, 978-3-319-17220-0       
Thorsten Wuest (auth.)    Springer Theses    Springer International Publishing    2015
    Identifying Product and Process State Drivers in Manufacturing Systems Using Supervised Machine Learning [1 ed.]       
    978-3-319-17610-9, 978-3-319-17611-6       
Issam El Naqa, Ruijiang Li, Martin J. Murphy (eds.)    Machine Learning in Radiation Oncology: Theory and Applications [1 ed.]    Springer International Publishing    2015
    978-3-319-18304-6, 978-3-319-18305-3       
Aristomenis S. Lampropoulos, George A. Tsihrintzis (auth.)    Intelligent Systems Reference Library 92    Springer International Publishing    2015
    Machine Learning Paradigms: Applications in Recommender Systems [1 ed.]       
    978-3-319-19134-8, 978-3-319-19135-5       
Petra Perner (eds.)    Lecture Notes in Computer Science 9166    Springer International Publishing    2015
    Machine Learning and Data Mining in Pattern Recognition: 11th International Conference, MLDM 2015, Hamburg, Germany, July 20-21, 2015, Proceedings [1 ed.]       
    978-3-319-21023-0, 978-3-319-21024-7       
Long Xu, Weisi Lin, C.-C. Jay Kuo (auth.)    SpringerBriefs in Electrical and Computer Engineering    Springer-Verlag Singapur    2015
    Visual Quality Assessment by Machine Learning [1 ed.]       
    978-981-287-467-2, 978-981-287-468-9       
Michael Bowles    Machine Learning in Python: Essential Techniques for Predictive Analysis [1 ed.]    Wiley    2015
    1118961749, 9781118961742       
Michael Bowles    Machine Learning in Python: Essential Techniques for Predictive Analysis [1 ed.]    Wiley    2015
    1118961749, 9781118961742       
Brett Lantz    Machine Learning with R - Second Edition [2nd Revised edition]    Packt Publishing - ebooks Account    2015
    1784393908, 9781784393908       
Pedro Domingos    The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World    Basic Books    2015
    0465065708, 9780465065707       
Han Liu, Alexander Gegov, Mihaela Cocea    Studies in Big Data 13    Springer International Publishing    2015
    Rule Based Systems for Big Data: A Machine Learning Approach [1st ed.]       
    3319236954, 978-3-319-23695-7, 978-3-319-23696-4       
Pedro Domingos    The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World    Basic Books    2015
    0465065708, 9780465065707       
Sebastian Raschka    Python Machine Learning    Packt Publishing    2015
    978-1-78355-513-0       
Eric Biernat, Michel Lutz, Yann LeCun    Data science : fondamentaux et études de cas : Machine learning avec Python et R    Eyrolles    2015
    2212142439, 9782212142433       
Eric Biernat, Michel Lutz, Yann LeCun    Data science : fondamentaux et études de cas : Machine learning avec Python et R    Eyrolles    2015
    2212142439, 9782212142433       
Francesco Camastra, Alessandro Vinciarelli (auth.)    Advanced Information and Knowledge Processing    Springer-Verlag London    2015
    Machine Learning for Audio, Image and Video Analysis: Theory and Applications [2 ed.]       
    978-1-4471-6734-1, 978-1-4471-6735-8       
Roger Barga, Valentine Fontama, Wee Hyong Tok (auth.)    Predictive Analytics with Microsoft Azure Machine Learning    Apress    2015
    978-1-4842-1201-1, 978-1-4842-1200-4       
Miroslav Kubat (auth.)    An Introduction to Machine Learning [1 ed.]    Springer International Publishing    2015
    978-3-319-20009-5, 978-3-319-20010-1       
Albert Bifet, Michael May, Bianca Zadrozny et al. (eds.)    Lecture Notes in Computer Science 9286    Springer International Publishing    2015
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III [1 ed.]       
    978-3-319-23460-1, 978-3-319-23461-8       
Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, João Gama, Alípio Jorge, Carlos Soares (eds.)    Lecture Notes in Computer Science 9285    Springer International Publishing    2015
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II [1 ed.]       
    978-3-319-23524-0, 978-3-319-23525-7       
Annalisa Appice, Pedro Pereira Rodrigues, Vítor Santos Costa, Carlos Soares, João Gama, Alípio Jorge (eds.)    Lecture Notes in Computer Science 9284    Springer International Publishing    2015
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I [1 ed.]       
    978-3-319-23527-1, 978-3-319-23528-8       
Xiaofei He, Xinbo Gao, Yanning Zhang, Zhi-Hua Zhou, Zhi-Yong Liu, Baochuan Fu, Fuyuan Hu, Zhancheng Zhang (eds.)    Lecture Notes in Computer Science 9243    Springer International Publishing    2015
    Intelligence Science and Big Data Engineering. Big Data and Machine Learning Techniques: 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II [1 ed.]       
    978-3-319-23861-6, 978-3-319-23862-3       
Luping Zhou, Li Wang, Qian Wang, Yinghuan Shi (eds.)    Lecture Notes in Computer Science 9352    Springer International Publishing    2015
    Machine Learning in Medical Imaging: 6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings [1 ed.]       
    978-3-319-24887-5, 978-3-319-24888-2       
Justin Solomon    Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics    A K Peters/CRC Press    2015
    1482251884, 978-1482251883       
Jason Bell    Machine Learning: Hands-On for Developers and Technical Professionals [1 ed.]    Wiley    2015
    1118889061, 978-1-118-88906-0, 978-1-118-88939-8, 978-1-118-88949-7       
Solomon, Justin    Numerical algorithms : methods for computer vision, machine learning, and graphics    CRC Press    2015
    978-1-4822-5189-0, 1482251892, 9781482251906, 1482251906, 9781482251937, 1482251930       
Solomon, Justin    Numerical algorithms : methods for computer vision, machine learning, and graphics    CRC Press    2015
    978-1-4822-5189-0, 1482251892, 9781482251906, 1482251906, 9781482251937, 1482251930       
Kirk, Matthew; Loukides, Michael Kosta; Monaghan, Rachel; Spencer, Ann; Volkhausen, Ellie; Yarbrough, Melanie    Thoughtful machine learning : a test-driven approach [1 ed.]    O'Reilly Media    2015
    1449374069, 978-1-449-37406-8, 9781449374105, 1449374107       
John D. Kelleher, Brian Mac Namee, Aoife D'Arcy    Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies    The MIT Press    2015
    0262029448, 9780262029445       
Panos Pardalos, Mario Pavone, Giovanni Maria Farinella, Vincenzo Cutello (eds.)    Lecture Notes in Computer Science 9432    Springer International Publishing    2015
    Machine Learning, Optimization, and Big Data: First International Workshop, MOD 2015, Taormina, Sicily, Italy, July 21-23, 2015, Revised Selected Papers [1 ed.]       
    978-3-319-27925-1, 978-3-319-27926-8       
Kanwal K. Bhatia, Herve Lombaert (eds.)    Lecture Notes in Computer Science 9487    Springer International Publishing    2015
    Machine Learning Meets Medical Imaging: First International Workshop, MLMMI 2015, Held in Conjunction with ICML 2015, Lille, France, July 11, 2015, Revised Selected Papers [1 ed.]       
    978-3-319-27928-2, 978-3-319-27929-9       
Camastra, Francesco; Vinciarelli, Alessandro    Advanced information and knowledge processing    Springer    2015
    Machine learning for audio, image and video analysis : theory and applications [2ed.]       
    1447167341, 978-1-4471-6734-1, 978-1-4471-6735-8, 144716735X       
Kubat, Miroslav    An introduction to machine learning [1st ed. 2015]    Springer    2015
    3319200097, 978-3-319-20009-5, 978-3-319-20010-1, 3319200100       
Marshland, Stephen    Chapman & Hall/CRC machine learning & pattern recognition series    CRC Press    2015
    Machine Learning : an algorithmic perspective [2ed.]       
    9781466583283, 1466583282, 978-1-4665-8333-7, 1466583339, 9781466583368, 1466583363       
Solomon, Justin    Numerical algorithms : methods for computer vision, machine learning, and graphics    CRC Press    2015
    978-1-4822-5189-0, 1482251892, 9781482251906, 1482251906, 9781482251937, 1482251930       
Antonio Gulli    A Collection of Programming Interview Questions 6    CreateSpace Independent Publishing Platform    2015
    A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning       
    1517216710, 9781517216719       
Henry Garner    Clojure for Data Science: Statistics, big data, and machine learning for Clojure programmers    Packt Publishing    2015
    978-1-78439-718-0       
Luis Pedro Coelho, Willi Richert    Building Machine Learning Systems with Python, 2nd Edition: Get more from your data through creating practical machine learning systems with Python    Packt Publishing    2015
    978-1-78439-277-2       
Nick Pentreath    Machine Learning with Spark: Create scalable machine learning applications to power a modern data-driven business using Spark    Packt Publishing    2015
    978-1-78328-851-9       
Michael Bowles    Machine Learning in Python: Essential Techniques for Predictive Analysis    Wiley    2015
    978-1-118-96174-2       
Yu-Wei, David Chiu    Machine Learning with R Cookbook: Explore over 110 recipes to analyze data and build predictive models with the simple and easy-to-use R code    Packt Publishing    2015
    978-1-78398-204-2       
Mathias Brandewinder    Machine Learning Projects for .NET Developers    Apress    2015
    978-1-4302-6767-6       
Nitin Hardeniya    NLTK Essentials: Build cool NLP and machine learning applications using NLTK and other Python libraries    Packt Publishing    2015
    978-1-78439-690-9       
Sebastian Raschka    Python Machine Learning: Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics    Packt Publishing    2015
    978-1-78355-513-0       
Roger Barga, Valentine Fontama, Wee Hyong Tok    Predictive Analytics with Microsoft Azure Machine Learning, 2nd Edition    Apress    2015
    978-1-48421-201-1       
Mike Barlow    Learning to Love Data Science: Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization    O'Reilly Media    2015
    978-1-49193-658-0       
Arun Manivannan    Scala Data Analysis Cookbook: Navigate the world of data analysis, visualization, and machine learning with over 100 hands-on Scala recipes    Packt Publishing    2015
    978-1-78439-674-9       
Jayani Withanawasam    Apache Mahout Essentials: Implement top-notch machine learning algorithms for classification, clustering, and recommendations with Apache Mahout    Packt Publishing    2015
    978-1-78355-499-7       
Dr Antonio Gulli    A collection of Advanced Data Science and Machine Learning Interview Questions Solved in Python and Spark (II): Hands-on Big Data and Machine ... Programming Interview Questions) (Volume 7) [2]    CreateSpace Independent Publishing Platform    2015
    1518678645, 9781518678646       
John D. Kelleher, Brian Mac Namee, Aoife D’Arcy    Fundamentals of Machine Learning for Predictive Data Analytics    The MIT Press    2015
    9.78026E+12       
Miroslav Kubat    An Introduction to Machine Learning    Springer    2015
Cory Lesmeister    Mastering Machine Learning with R    Packt    2015
    978-1-78398-452-7       
Stephen Marsland    Machine Learning. An Algorithmic Perspective 2nd ed.    CRC    2015
    978-1-4665-8333-7       
Justin Bozonier    Test-driven Machine Learning    Packt    2015
    978-1-78439-908-5       
Matthew Kirk    Thoughtful Machine Learning    O'Reilly Media    2015
Milan Sonka; Václav Hlavác; Roger Boyle    Image processing, Analysis, and Machine Vision [4th ed.]    Cengage Learning    2015
    9781133593607, 1133593607       
Claude Sammut, Geoffrey I. Webb (eds.)    Encyclopedia of Machine Learning and Data Mining    Springer US    2015
    978-1-4899-7502-7       
Yu-Wei, Chiu (David Chiu)    Machine Learning With R Cookbook    Packt    2015
    978-1-78398-204-2       
Luis Pedro Coelho, Willi Richert    Building Machine Learning Systems with Python, Second Edition    Packt Publishing    2015
    9.78178E+12       
Liu Xin, Datta Anwitaman, Lim Ee-Peng    Chapman & Hall CRC machine learning    CRC Press    2015
    Computational Trust Models and Machine Learning       
Serkan Kiranyaz, Turker Ince, Moncef Gabbouj (auth.)    Adaptation, Learning, and Optimization 15    Springer-Verlag Berlin Heidelberg    2014
    Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition [1 ed.]       
    978-3-642-37845-4, 978-3-642-37846-1       
Udo Bankhofer, Dieter William Joenssen (auth.), Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning (eds.)    Studies in Classification, Data Analysis, and Knowledge Organization    Springer International Publishing    2014
    Data Analysis, Machine Learning and Knowledge Discovery [1 ed.]       
    978-3-319-01594-1, 978-3-319-01595-8       
Pradeep Chowriappa, Sumeet Dua, Yavor Todorov (auth.), Sumeet Dua, U. Rajendra Acharya, Prerna Dua (eds.)    Intelligent Systems Reference Library 56    Springer-Verlag Berlin Heidelberg    2014
    Machine Learning in Healthcare Informatics [1 ed.]       
    978-3-642-40016-2, 978-3-642-40017-9       
Ton J. Cleophas, Aeilko H. Zwinderman (auth.)    SpringerBriefs in Statistics    Springer International Publishing    2014
    Machine Learning in Medicine - Cookbook [1 ed.]       
    978-3-319-04180-3, 978-3-319-04181-0       
Zeljko Ivezic, Andrew J. Connolly, Jacob T VanderPlas, Alexander Gray    Princeton Series in Modern Observational Astronomy    Princeton University Press    2014
    Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data       
    0691151687, 9780691151687       
Fuchen Sun, Kar-Ann Toh, Manuel Grana Romay, Kezhi Mao (eds.)    Adaptation, Learning, and Optimization 16    Springer International Publishing    2014
    Extreme Learning Machines 2013: Algorithms and Applications [1 ed.]       
    978-3-319-04740-9, 978-3-319-04741-6       
Sang-Yong Rhee, Jooyoung Park, Atsushi Inoue (eds.)    Advances in Intelligent Systems and Computing 273    Springer International Publishing    2014
    Soft Computing in Machine Learning [1 ed.]       
    978-3-319-05532-9, 978-3-319-05533-6       
Ben Goertzel, Cassio Pennachin, Nil Geisweiller (auth.)    Atlantis Thinking Machines 5    Atlantis Press    2014
    Engineering General Intelligence, Part 1: A Path to Advanced AGI via Embodied Learning and Cognitive Synergy [1 ed.]       
    978-94-6239-026-3, 978-94-6239-027-0       
Paulo S.R. Diniz, Johan A.K. Suykens, Rama Chellappa and Sergios Theodoridis (Eds.)    Academic Press Library in Signal Processing 1    Academic Press    2014
    Signal Processing Theory and Machine Learning [1 ed.]       
    978-0-12-396502-8       
Vineeth Balasubramanian, Shen-Shyang Ho and Vladimir Vovk (Eds.)    Conformal Prediction for Reliable Machine Learning. Theory, Adaptations and Applications [1 ed.]    Morgan Kaufmann    2014
    978-0-12-398537-8       
Shalev-Shwartz S., Ben-David S.    Understanding Machine Learning: From Theory to Algorithms [draft ed.]    CUP    2014
    9.78111E+12       
Kung S.Y.    Kernel Methods and Machine Learning [draft ed.]    CUP    2014
    9.78111E+12       
Patrick Stalph (auth.)    Analysis and Design of Machine Learning Techniques: Evolutionary Solutions for Regression, Prediction, and Control Problems [1 ed.]    Vieweg+Teubner Verlag    2014
    978-3-658-04936-2, 978-3-658-04937-9       
Jia Li, Wen Gao (auth.)    Lecture Notes in Computer Science 8408 Image Processing, Computer Vision, Pattern Recognition, and Graphics    Springer International Publishing    2014
    Visual Saliency Computation: A Machine Learning Perspective [1 ed.]       
    978-3-319-05641-8, 978-3-319-05642-5       
Ton J. Cleophas, Aeilko H. Zwinderman (auth.)    SpringerBriefs in Statistics 49    Springer International Publishing    2014
    Machine Learning in Medicine - Cookbook Two [1 ed.]       
    978-3-319-07412-2, 978-3-319-07413-9       
Taras Kowaliw, Nicolas Bredeche, René Doursat (eds.)    Studies in Computational Intelligence 557    Springer-Verlag Berlin Heidelberg    2014
    Growing Adaptive Machines: Combining Development and Learning in Artificial Neural Networks [1 ed.]       
    978-3-642-55336-3, 978-3-642-55337-0       
Jared Dean    Wiley and SAS Business Series    Wiley    2014
    Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners       
    1118618041, 9781118618042       
Akhil Wali    Clojure for Machine Learning    Packt Publishing - ebooks Account    2014
    1783284358, 9781783284351       
Jason Bell    Machine Learning: Hands-On for Developers and Technical Professionals [1 ed.]    Wiley    2014
    1118889061, 9781118889060       
    Chapman & Hall/CRC Machine Learning & Pattern Recognition    Chapman & Hall Crc    2014
    Computational trust models and machine learning       
    1482226669, 978-1-4822-2666-9, 978-1-4822-2667-6       
Suykens, Johan A.K.    Chapman & Hall/CRC Machine Learning & Pattern Recognition    CRC Press    2014
    Regularization, Optimization, Kernels, and Support Vector Machines       
    978-1-4822-4139-6, 978-1-4822-4140-2       
Jared Dean    Wiley and SAS business series    Wiley    2014
    Big data, data mining, and machine learning : value creation for business leaders and practitioners [1 ed.]       
    978-1-118-61804-2, 978-1-118-92069-5, 978-1-118-92070-1, 1118920694, 9781118691786, 1118691784, 1118920708, 1118618041       
Diniz, Paulo S.R. Diniz, Johan A.K. Suykens, Rama Chellappa, Sergios Theodoridis    Academic Press library in signal processing, volume 1    Academic Press    2014
    Signal processing theory and machine learning [1 ed.]       
    978-0-12-396502-8, 0123965020, 0123972264, 9780123972262       
Peter Wittek    Elsevier Insights    Elsevier AP, Academic Press    2014
    Quantum Machine Learning : What Quantum Computing Means to Data Mining [1 ed.]       
    978-0-12-800953-6, 0128009535       
Gavin Hackeling    Mastering Machine Learning with scikit-learn    Packt Publishing    2014
    1783988363, 9781783988365       
Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang (eds.)    Advances in Computer Vision and Pattern Recognition    Springer International Publishing    2014
    Computer Vision and Machine Learning with RGB-D Sensors [1 ed.]       
    978-3-319-08650-7, 978-3-319-08651-4       
Petra Perner (eds.)    Lecture Notes in Computer Science 8556 Lecture Notes in Artificial Intelligence    Springer International Publishing    2014
    Machine Learning and Data Mining in Pattern Recognition: 10th International Conference, MLDM 2014, St. Petersburg, Russia, July 21-24, 2014. Proceedings [1 ed.]       
    978-3-319-08978-2, 978-3-319-08979-9       
Guorong Wu, Daoqiang Zhang, Luping Zhou (eds.)    Lecture Notes in Computer Science 8679 Image Processing, Computer Vision, Pattern Recognition, and Graphics    Springer International Publishing    2014
    Machine Learning in Medical Imaging: 5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings [1 ed.]       
    978-3-319-10580-2, 978-3-319-10581-9       
Stefan Wermter, Cornelius Weber, Włodzisław Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa (eds.)    Lecture Notes in Computer Science 8681 Theoretical Computer Science and General Issues    Springer International Publishing    2014
    Artificial Neural Networks and Machine Learning – ICANN 2014: 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings [1 ed.]       
    978-3-319-11178-0, 978-3-319-11179-7       
Ton J. Cleophas, Aeilko H. Zwinderman (auth.)    SpringerBriefs in Statistics    Springer International Publishing    2014
    Machine Learning in Medicine - Cookbook Three [1 ed.]       
    978-3-319-12162-8, 978-3-319-12163-5       
Aboul Ella Hassanien, Mohamed F. Tolba, Ahmad Taher Azar (eds.)    Communications in Computer and Information Science 488    Springer International Publishing    2014
    Advanced Machine Learning Technologies and Applications: Second International Conference, AMLTA 2014, Cairo, Egypt, November 28-30, 2014. Proceedings [1 ed.]       
    978-3-319-13460-4, 978-3-319-13461-1       
Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro (eds.)    Lecture Notes in Computer Science 8857 Lecture Notes in Artificial Intelligence    Springer International Publishing    2014
    Nature-Inspired Computation and Machine Learning: 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part II [1 ed.]       
    978-3-319-13649-3, 978-3-319-13650-9       
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo (eds.)    Lecture Notes in Computer Science 8726 Lecture Notes in Artificial Intelligence    Springer-Verlag Berlin Heidelberg    2014
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III [1 ed.]       
    978-3-662-44844-1, 978-3-662-44845-8       
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo (eds.)    Lecture Notes in Computer Science 8724 Lecture Notes in Artificial Intelligence    Springer-Verlag Berlin Heidelberg    2014
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I [1 ed.]       
    978-3-662-44847-2, 978-3-662-44848-9       
Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo (eds.)    Lecture Notes in Computer Science 8725 Lecture Notes in Artificial Intelligence    Springer-Verlag Berlin Heidelberg    2014
    Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II [1 ed.]       
    978-3-662-44850-2, 978-3-662-44851-9       
Patrick Stalph    Analysis and Design of Machine Learning Techniques: Evolutionary Solutions for Regression, Prediction, and Control Problems [1 ed.]    Vieweg+Teubner Verlag    2014
    9783658049379, 3658049375       
Ethem Alpaydin    Adaptive Computation and Machine Learning series    The MIT Press    2014
    Introduction to Machine Learning [third edition]       
    0262028182, 9780262028189       
Irina Rish, Genady Grabarnik    Chapman & Hall/CRC Machine Learning & Pattern Recognition    CRC Press    2014
    Sparse Modeling: Theory, Algorithms, and Applications [1 ed.]       
    1439828695, 9781439828694       
    Analysis and Design of Machine Learning Techniques: Evolutionary Solutions for Regression, Prediction, and Control Problems [1 ed.]    Vieweg+Teubner Verlag    2014
    978-3-658-04936-2, 978-3-658-04937-9