The Building Blocks of Machine Learning

Bys: R, Kavitha, S, Geerthik, C, Moorthy

This book is a valuable resource for anyone interested in understanding the fundamental concepts and techniques underlying machine learning. Here are some key reasons to consider reading it: Solid Foundation: The book provides a comprehensive overview of the essential building blocks of machine learning, including statistical concepts, algorithms, and techniques. This makes it ideal for beginners or those looking to solidify their understanding.Practical Applications: While focusing on theoretical concepts, the book also demonstrates how these concepts can be applied to real-world problems. This helps readers connect theory with practice and understand the relevance of machine learning in various domains.Stay Updated: Machine learning is a rapidly evolving field. By reading this book, you can stay updated with the latest developments and trends. It can help you understand the underlying principles of new technique.

• Format: Paperback
• Language: English
• ISBN: 6208172071
• ISBN13: 9786208172077
• Release Date: October 2024
• Publisher: LAP Lambert Academic Publishing
• Length: 100 Pages
• Weight: 0.35 lbs.
• Dimensions: 0.2" x 6.0" x 9.0"