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portada Machine Learning for Absolute Beginners: A Simple, Concise & Complete Introduction to Supervised and Unsupervised Learning Algorithms (in English)
Type
Physical Book
Language
Inglés
Pages
78
Format
Paperback
Dimensions
20.3 x 12.7 x 0.4 cm
Weight
0.09 kg.
ISBN13
9781979613095

Machine Learning for Absolute Beginners: A Simple, Concise & Complete Introduction to Supervised and Unsupervised Learning Algorithms (in English)

Jennifer Grange (Author) · Createspace Independent Publishing Platform · Paperback

Machine Learning for Absolute Beginners: A Simple, Concise & Complete Introduction to Supervised and Unsupervised Learning Algorithms (in English) - Grange, Jennifer

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Synopsis "Machine Learning for Absolute Beginners: A Simple, Concise & Complete Introduction to Supervised and Unsupervised Learning Algorithms (in English)"

Do you understand the difference between supervised and unsupervised learning algorithms? Would you like to be able to learn about this quickly, in a simple and concise way? Some of the world's biggest companies use machine learning techniques to manage their functions in an effective and professional way that is beneficial to their business. Now you can understand more about them with Machine Learning for Absolute Beginners, a book which provides you with in-depth knowledge of the Supervised and Unsupervised Learning Algorithms which play such a big part and specifically: Supervised learning Semi-supervised learning Learning to learn Transduction Learning that reinforces Written in a clear and easy-to-follow style, this book takes what might seem to be a complex subject and simplifies it in basic layman's terms, so that it becomes an easy read, even if you are a complete novice. Get yourself a copy of Machine Learning for Absolute Beginners today. It will enhance your understanding and provide you with everything you'll need to expand your knowledge of this fascinating subject!

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.

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