Burkov, Andriy
The Hundred-Page Machine Learning Book
- ISBN 13:
- 9781999579517
- author:
- Burkov, Andriy
- format:
- Hardback
- publisher:
- Andriy Burkov
- language:
- English
- Publication Year:
- 2019
- Pages:
- 160
- Dimensions:
- 23.5 x 19.1 x 1.4 centimetres (0
- Genre:
- General (US: Trade), Nonfiction, Technology & Engineering,
- Condition:
- New
- Availability:
- Item usually sent within 7 working days
Description
Mastering machine learning has never been clearer. This concise and practical guide takes a unique approach, focusing on what matters in practice rather than theory. With a careful progression through key concepts, you'll learn essential mathematical foundations and then move on to the most practically important machine learning algorithms. From fundamental algorithms to cutting-edge deep learning and neural networks, this book delivers a complete education in modern machine learning. You'll gain practical skills like feature engineering, regularization, handling imbalanced datasets, ensembles, and model evaluation that help turn theory into working systems. Whether you're building a recommendation system, analyzing customer data, or working with images and text, you'll find practical guidance here. Each chapter reflects the author's real-world experience, focusing on techniques that work in practice. With precisely the right level of technical detail, this book will help you create those crucial "a-ha!" moments and turn your understanding into actionable systems.
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