
The Hundred-Page Machine Learning Book by Andriy Burkov is a concise and practical introduction to machine learning, covering fundamental mathematics, supervised and unsupervised learning, neural networks, decision trees, ensemble methods, and model evaluation. It is designed to give students, beginners, and practitioners a clear overview of key machine-learning concepts and their practical applications.
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