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Machine Learning for Absolute Beginners

Machine Learning for Absolute Beginners

Daniel Huston
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Machine Learning for Absolute Beginners 

is a comprehensive and beginner-friendly guide to understanding the fundamentals of machine learning. The book provides an easy-to-follow introduction to the basics of machine learning and covers various topics such as

  • supervised and unsupervised learning,
  • deep learning,
  • neural networks
  • evaluation techniques

The author has used plain language and examples that are easy to understand, making it accessible for beginners who have little to no prior experience in machine learning.

The book is also supported by visual aids and practical exercises that help readers gain hands-on experience in using machine learning algorithms and techniques.

Readers will learn how to prepare data, select appropriate algorithms, train models, and evaluate their performance.

The book also includes real-world examples and case studies to help readers understand how machine learning is being used in various industries such as healthcare, finance, and e-commerce.Overall, "Machine Learning for Absolute Beginners" is an excellent resource for those who are new to machine learning and want to learn the basics of this fascinating field.

年:
2023
出版社:
Daniel Huston
语言:
english
页:
40
ISBN 10:
8215123635
ISBN 13:
9788215123639
文件:
EPUB, 261 KB
IPFS:
CID , CID Blake2b
english, 2023
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