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Book2019
The Hundred-Page Machine Learning Book
by Andriy Burkov
The Hundred-Page Machine Learning Book is a comprehensive overview of machine learning that manages to be both accessible to beginners and valuable to experienced practitioners.
Despite its concise format, the book covers a remarkable range of topics, from basic concepts to advanced techniques. It's particularly effective at explaining complex mathematical ideas in straightforward language without sacrificing technical accuracy.
One of the book's greatest strengths is its practical focus. Rather than getting lost in theoretical abstractions, Burkov consistently grounds the discussion in real-world applications and implementation considerations.
Key Points
- Covers supervised, unsupervised, and reinforcement learning
- Explains neural networks and deep learning concepts clearly
- Provides practical advice on model selection and evaluation
- Discusses ethical considerations in machine learning applications
- Includes references to research papers for deeper study
Details
Type
Book
Year Published
2019
Publisher
Andriy Burkov
Pages
100