ML Books

Books:

• Fundamentals of Neural Networks: Architectures, Algorithms and Applications, by FAUSETT (Author) 

• MATLAB Machine Learning Recipes: A Problem-Solution Approach 2nd Edition, Kindle Edition by Michael Paluszek (Author), Stephanie Thomas (Author, Contributor)  

• R Machine Learning By Example Paperback – Import, 6 Jan 2016 by Raghav Bali (Author), Dipanjan Sarkar (Author) 

• Machine Learning with TensorFlow Paperback – Import, 1 Jan 2018 by Nishant Shukla (Author) 

• Machine Learning: Hands–On for Developers and Technical Professionals Paperback – 30 Dec 2014 by Jason Bell  

• Machine Learning for Audio, Image and Video Analysis (Advanced Information and Knowledge Processing) Hardcover – 3 Aug 2015 by Francesco Camastra (Author), Alessandro Vinciarelli (Author)  

• Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud Kindle Edition by Manuel Amunategui (Author), Mehdi Roopaei (Author, Contributor)  

• Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python Paperback – Import, 27 Feb 2019 by Himanshu Singh (Author)  

• Machine Learning with PySpark: With Natural Language Processing and Recommender Systems Paperback – Import, 15 Dec 2018 by Pramod Singh (Author) 

• Reactive Machine Learning Systems Paperback – Import, 31 May 2018 by Jeff Smith (Author) 

• Oracle Business Intelligence with Machine Learning: Artificial Intelligence Techniques in OBIEE for Actionable BI Kindle Edition by Rosendo Abellera (Author), Lakshman Bulusu (Author, Contributor)  

• Python Machine Learning Case Studies: Five Case Studies for the Data Scientist Paperback – Import, 26 Nov 2017 by Danish Haroon (Author)  

• Thoughtful Machine Learning with Python: A Test-Driven Approach Paperback – 2017 by Matthew Kirk (Author) 

• Machine Learning in Action Paperback – 2012 by Peter Harrington (Author) 

• Scaling up Machine Learning: Parallel and Distributed Approaches Paperback – Import, 29 Mar 2018 by Ron Bekkerman (Editor), Mikhail Bilenko (Editor), John Langford (Editor)  

• Building Machine Learning Systems with Python Paperback – 26 Jul 2013 by Willi Richert (Author), Luis Pedro Coelho (Author) 

•  F# for Machine Learning Essentials Paperback – Import, 6 Jan 2016 by Sudipta Mukherjee (Author) 
• Clojure for Machine Learning: Successfully leverage advanced machine learning techniques using the clojure ecosystem 

• Machine Learning for Hackers: Case Studies and Algorithms to Get You Started Paperback – 2012 by Drew Conway (Author), John Myles (Author)  
• Machine Learning for Audio, Image and Video Analysis (Advanced Information and Knowledge Processing) Hardcover – 3 Aug 2015 by Francesco Camastra (Author), Alessandro Vinciarelli (Author) 

•  An Introduction to Machine Learning Paperback – 15 Oct 2016 by Miroslav Kubat (Author) 

• Scaling up Machine Learning: Parallel and Distributed Approaches Paperback – Import, 29 Mar 2018 by Ron Bekkerman (Editor), Mikhail Bilenko (Editor), John Langford (Editor)  

• Machine Learning Paradigms: Applications in Recommender Systems (Intelligent Systems Reference Library) Paperback – Import, 17 Oct 2016 by Aristomenis S. Lampropoulos (Author), George A. Tsihrintzis (Author)  

• Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers 1st ed. Edition, Kindle Edition by Mariette Awad (Author), Rahul Khanna (Author, Contributor)  

• Clojure for Machine Learning by Akhil Wali (Author)  

• Learning scikit-learn: Machine Learning in Python by Raul Garreta (Author), Guillermo Moncecchi (Author) 

• Python for Probability, Statistics, and Machine Learning by José Unpingco (Author)  

• An Introduction to Machine Learning by Miroslav Kubat (Author) 
• Designing Machine Learning Systems with Python by David Julian (Author)  
• Unsupervised Learning with R Paperback by Erik Rodriguez Pacheco (Author)