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Machine Learning for Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work - Brossura

 
9781725070233: Machine Learning for Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work

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If you are looking for a complete beginners guide to learn machine learning with examples, in just a few hours, then you need to continue reading.



Machine learning is an incredibly dense topic. It’s hard to imagine condensing it into an easily readable and digestible format. However, this book aims to do exactly that.


Grab your copy today and learn:


  • The different types of learning algorithm that you can expect to encounter

  • The numerous applications of machine learning

  • The future of machine learning

  • The best practices for picking up machine learning

  • What languages and libraries to work with

  • The different types of machine learning and how they differ

  • The various problems that you can solve with machine learning algorithms

  • And much more...

Starting from nothing, we slowly work our way through all the concepts that are central to machine learning. By the end of this book, you’re going to feel as though you have an extremely firm understanding of what machine learning is, how it can be used, and most importantly, how it can change the world. You’re also going to have an understanding of the logic behind the algorithms and what they aim to accomplish.

Don’t waste your time working with a book that’s only going to make an already complicated topic even more complicated. Scroll up and click the buy now button to learn everything you need to know in no time!

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Altre edizioni note dello stesso titolo

9783903331174: Machine Learning For Beginners: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work

Edizione in evidenza

ISBN 10:  3903331171 ISBN 13:  9783903331174
Casa editrice: Data Science, 2019
Brossura