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Machine Learning.txt
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Machine Learning.txt
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TensorFlow Machine Learning Cookbook 2017 (5.0/2)
Real-World Machine Learning 2017 (4.6/3)
Machine Learning Using R 2017
Machine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization 2017
Large Scale Machine Learning with Python 2016 (5.0/2)
Machine Learning Refined: Foundations, Algorithms, and Applications 2016 (5.0/2)
Deep Learning 2016 (4.7/51)
Make Your Own Neural Network 2016 (4.2/103)
Financial Signal Processing and Machine Learning 2016 (4.0/1)
Introduction to Machine Learning with Python: A Guide for Data Scientists 2016 (3.8/10)
Deep Learning in Python 2016 (3.4/18)
TensorFlow For Machine Intelligence: A hands-on introduction to learning algorithms 2016 (3.4/10)
Designing Machine Learning Systems with Python 2016 (2.0/1)
Building Machine Learning Projects with TensorFlow 2016 (1.4/3)
Introduction to Statistical Machine Learning 2016
Machine Learning for Health Informatics: State-of-the-Art and Future Challenges 2016
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics 2015 (5.0/6)
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R 2015 (5.0/2)
Natural Language Processing for Social Media 2015 (5.0/1)
Machine Learning Projects for .NET Developers 2015 (4.7/12)
Fundamentals of Machine Learning for Predictive Data Analytics 2015 (4.6/22)
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World 2015 (4.2/113)
Python Machine Learning 2015 (4.2/96)
Machine Learning in Python: Essential Techniques for Predictive Analysis 2015 (3.9/25)
Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R 2015 (3.9/10)
Building Machine Learning Systems with Python 2nd edition 2015 (3.2/5)
Thoughtful Machine Learning: A Test-Driven Approach 2015 (3.0/6)
Data Mining Algorithms: Explained Using R 2015 (3.0/2)
Machine Learning, Optimization, and Big Data 2015
Neural Network Design 2nd edition 2014 (4.7/29)
Understanding Machine Learning: From Theory to Algorithms 2014 (4.1/11)
Machine Learning: An Algorithmic Perspective 2nd edition 2014 (3.9/39)
Building Machine Learning Systems with Python 2013 (4.1/32)
Natural Language Annotation for Machine Learning: A Guide to Corpus-Building for Applications 2012 (4.5/4)
Machine Learning: The Art and Science of Algorithms that Make Sense of Data 2012 (4.3/27)
Bayesian Reasoning and Machine Learning 2012 (4.0/18)
Machine Learning in Action 2012 (3.7/30)
Data Mining: Concepts and Techniques 3rd edition 2012 (3.4/39)
Machine Learning for Hackers: Case Studies and Algorithms to Get You Started 2012 (3.1/28)
Evaluating Learning Algorithms: A Classification Perspective 2011 (4.5/2)
Data Mining: Practical Machine Learning Tools and Techniques 3rd edition 2011 (4.2/75)
Data Mining and Machine Learning in Cybersecurity 2011 (4.0/2)
Learning to Rank for Information Retrieval and Natural Language Processing 2011 (4.0/1)
Handbook of Natural Language Processing and Machine Translation 2011th edition 2011
Ensemble Methods in Data Mining: Improving Accuracy Through Combining Predictions 2010 (4.7/10)
Handbook of Natural Language Processing 2nd edition 2010 (4.0/2)
Introduction to Pattern Recognition: A Matlab Approach 2010 (3.7/10)
Introduction to Information Retrieval 2009 (4.4/26)
Machine Learning in Cyber Trust: Security, Privacy, and Reliability 2009th edition 2009