MACHINE LEARNING BOOKS AND TREATISES
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— — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — Machine Learning: A Journey from Beginner to Advanced Including Deep Learning, Scikit-learn, and Tensorflow Kindle Edition, by Michael B. White (Author)The rate that AI is growing is perhaps too fast to understand. The last 40 years have seen a few false starts but, in the last decade, we’ve seen huge advances in the processing power of computers and in data storage.(https://www.amazon.com/Machine-Learning-Including-Scikit-learn-Tensorflow-ebook/dp/B07FPXGJ27/ref=sr_1_3_sspa?s=books&ie=UTF8&qid=1541904673&sr=1-3-spons&keywords=machine+learning&psc=1)
— — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems 1st Edition, by Aurélien Géron (Author)Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.(https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=dp_ob_title_bk)
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Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (The MIT Press) 1st Edition, by John D. Kelleher (Author), Brian Mac Namee (Author), Aoife D’Arcy (Author)(Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification.)(https://www.amazon.com/Fundamentals Machine-Learning-Predictive-Analytics/dp/0262029448)
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Pattern Recognition and Machine Learning (Information Science and Statistics), by Christopher M. Bishop (Author) This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible.(https://www.amazon.com/Pattern-Recognition-Learning-Information-Statistics/dp/0387310738/ref=sr_1_6?s=books&ie=UTF8&qid=1541904673&sr=1-6&keywords=machine+learning&dpID=61FKyOeM7KL&preST=_SY291_BO1,204,203,200_QL40_&dpSrc=srch)
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