"The Hundred-Page Machine Learning Book" is a book written by Andriy Burkov. It's known for providing a concise and accessible overview of key concepts and techniques in the field of machine learning. Despite its brevity, the book covers a wide range of topics, making it suitable for both beginners looking to understand the fundamentals and experienced practitioners seeking a quick reference.

Key Features of "The Hundred-Page Machine Learning Book":

1. Concise Format: As the title suggests, the book is designed to be a compact guide, offering valuable insights in a hundred pages.

2. Comprehensive Coverage: It covers essential topics in machine learning, including supervised and unsupervised learning, neural networks, ensemble methods, and more.

3. Accessible Language: The author uses clear and straightforward language, making complex concepts more understandable for a broad audience.

4. Practical Examples: The book includes practical examples and real-world applications to reinforce the understanding of machine learning concepts.

Why Choose "The Hundred-Page Machine Learning Book":

• Quick Reference: Ideal for those looking for a quick but comprehensive overview of machine learning concepts without delving into extensive volumes.

• Beginner-Friendly: The book is approachable for beginners while still providing valuable insights for more experienced practitioners.

• Time-Efficient Learning: Suited for individuals with limited time who want to grasp the essentials of machine learning efficiently.

🚚 Fast Shipping: Secure your copy of "The Hundred-Page Machine Learning Book" by Andriy Burkov for a fast-track journey into the fundamentals of machine learning, with prompt and reliable delivery to your doorstep.

📖 Explore Machine Learning Basics: Whether you're starting your machine learning journey or seeking a concise reference, this book is a valuable resource to understand the core principles and applications in the field.

7 days  return policy 

Cod available 

English 

Paperback