Machine Learning With Python: An In-Depth Guide Beyond the Basics

Booth, Travis

ISBN 10: 1081501235 ISBN 13: 9781081501235
Editore: Independently published (edition ), 2019
Usato Paperback

Da BooksRun, Philadelphia, PA, U.S.A. Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

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It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Codice articolo 1081501235-8-1

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Riassunto:

An in-depth guide to real world machine learning problems using python


Are books on python either too basic or too advanced for you? Are you familiar with python for beginners but are intimidated by the math that comes with more advanced topics?

 Very few books bridge the gap in between. Are you looking for such a book?

Machine Learning With Python: An In-Depth Guide Beyond the Basics will take you beyond the mere basics and you will learn advanced techniques to create your very own self learning algorithms.

Inside you will learn:

  • The types of ML algorithms including K-Means and K-Nearest.
  • How learning takes place in artificial neural networks.
  • Dive into deep learning- the implications of supervised and unsupervised learning.
  • Applications for translations, handwriting generation, credit history reports and game development.
  • The best algorithm for pathfinding and data traversal.
  • How all of the above applies to Siri and Alexa.

and so much more!

Machine learning is a fast growing field and this guide will bring your skills on par with those working in the industry, written by someone who is in the industry.

Explore the book by taking a look inside and check out how others have benefited from Machine Learning With Python.

Click 'Buy Now'!

Bonus: Get the E-Book absolutely free when you purchase the paperback with Kindle Matchbook!

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Dati bibliografici

Titolo: Machine Learning With Python: An In-Depth ...
Casa editrice: Independently published (edition )
Data di pubblicazione: 2019
Legatura: Paperback
Condizione: Very Good

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