Are there any books I should read to learn machine ...

People in a discussion share book recommendations for learning machine learning from scratch. Many suggest "An Introduction to Statistical Learning" (ISL) and "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Géron. Some recommend "The Hundred-Page Machine Learning Book" and "Deep Learning for Coders with fastai and PyTorch." Others propose books focusing on the math behind machine learning, like a series starting with linear algebra available on Amazon and mldepot.co.uk. Some suggest starting with statistics, linear algebra, and calculus. Resources like Stanford's CS229 notes and the AI Canon by a16z are also mentioned. People agree that hands-on practice is key.AI summaries may include mistakes. Learn more....MoreLessSummary(function(){ (this||self).Bqpk9e=function(f,d,n,e,k,p){var g=document.getElementById(f);if(g&&(g.offsetWidth!==0||g.offsetHeight!==0)){var l=g.querySelector("div"),h=l.querySelector("div"),a=0;f=Math.max(l.scrollWidth-l.offsetWidth,0);if(d>0&&(h=h.children,a=h[d].offsetLeft-h[0].offsetLeft,e)){for(var m=a=0;m

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The book is intended for both undergraduate and graduate students in fields such as computer science, engineering, statistics, and the social sciences, and as a ...421 pages

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[M1] Probabilistic Machine Learning: An Introduction, Kevin Murphy, MIT Press, 2022. [M2] Probabilistic Machine Learning: Advanced Topics, Kevin Murphy ...

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This book covers the field of machine learning, which is the study of algorithms that allow computer programs to automatically improve through experience.

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With this book, you will learn how Machine Learning works. A hundred pages from now, you will be ready to build complex AI systems, ace an interview, or start ...

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Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow by Aurelien Geron. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron ...

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The discussion asks for the best books to learn machine learning for someone with a statistics background. People suggest that the "best" book depends on individual needs. Some recommend "The Nature of Statistical Learning", "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow", "AI and Machine Learning for Coders", and "Python Machine Learning". Others mention "Probabilistic Machine Learning" and Ian Goodfellow's book. "The AI Bible" is noted as good for beginners, possibly covering some familiar ground.AI summaries may include mistakes. Learn more....MoreLessSummary(function(){ (this||self).Bqpk9e=function(f,d,n,e,k,p){var g=document.getElementById(f);if(g&&(g.offsetWidth!==0||g.offsetHeight!==0)){var l=g.querySelector("div"),h=l.querySelector("div"),a=0;f=Math.max(l.scrollWidth-l.offsetWidth,0);if(d>0&&(h=h.children,a=h[d].offsetLeft-h[0].offsetLeft,e)){for(var m=a=0;m

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... book. 1.1 A Taste of Machine Learning. Machine learning can appear in many guises. We now discuss a number of applications, the types of data ...234 pages

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The book provides an extensive theoretical account of the fundamental ideas underlying machine learning and the mathematical derivations that transform these ...449 pages

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This page features the latest and most popular technology books focused on machine learning. You'll find best-selling titles covering topics like deep learning.

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