Dive into the principles and algorithms of machine learning with "Machine Learning From Scratch" - a comprehensive guide for beginners and experienced practitioners alike.
Machine Learning from Scratch is a comprehensive guide to understanding the principles and algorithms of machine learning, written by Danny Friedman. The book covers topics such as supervised learning, unsupervised learning, and deep learning, making it a valuable resource for beginners and experienced practitioners alike.
This book is recommended for readers looking to learn new machine learning algorithms or understand algorithms at a deeper level. It is particularly helpful for those with practice in basic modeling who are interested in seeing machine learning algorithms derived from start to finish.
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