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The code for most figures is stored in individual files in the scripts directory. You can run these locally (on your laptop), but it's often faster to run in colab (especially for demos that use a GPU). To do this, just type `%run foo.py`. You can also edit the file in colab, and then rerun it. Note, however, that changes to local files will not be...
Review by Aleksander Molak, 2022-02-03. "I love Murphy’s style of writing and I find it clear and appealing even when he discusses complex topics"
"The deep learning revolution has transformed the field of machine learning over the last decade. It was inspired by attempts to mimic the way the brain learns but it is grounded in basic principle..."Kevin Murphy’s book on machine learning is a superbly written, comprehensive treatment of the field, built on a foundation of probability theory. It is rigorous yet readily accessible, and is a mu..."This book is a clear, concise, and rigorous introduction to the foundations of machine learning. It beautifully bridges between the "traditional" topics and the more "modern" deep learning methods..."This is a remarkable book covering the conceptual, theoretical and computational foundations of probabilistic machine learning, starting with the basics and moving seamlessly to the leading edge o...People who helped write some of the sections: Sami Abu-El-Haija, Mathieu Blondel, Ines Chami, Krzysztof Choromanski, Zico Kolter, Frederick Kunster, Si Yi Meng, Aaron Mishkin, Byran Perozzi, Colin...People who helped proof-read: John Fearns, Peter Cerno, and many other people listed in the github issues page.People who have helped with the code: Mahmoud Soliman, Aleyna Kara, Gerardo Durán-Martín, Srikar Jilugu, Drishti Patel, Ming Liang Ang, Zeel Patel, Karm Patel, Nitish Sharma, Ankita Kumari Jain, Ni...A comprehensive textbook on the foundations and methods of machine learning, covering both classical and modern topics. The book is written by Kevin Murphy, a professor at U. Toronto and a leading expert in the field, and includes code, reviews, endorsements and solutions.
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