The Building Blocks of Machine Learning
Overview
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.
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Details
- ISBN-13: 9786208172077
- ISBN-10: 6208172071
- Publisher: LAP Lambert Academic Publishing
- Publish Date: October 2024
- Dimensions: 9 x 6 x 0.24 inches
- Shipping Weight: 0.35 pounds
- Page Count: 100
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