Machine Learning With Python: 3 books in 1: Hands-On Learning for Beginners+An in-Depth Guide Beyond the Basics+A Practical Guide for Experts - Softcover

Booth, Travis

 
9781708413026: Machine Learning With Python: 3 books in 1: Hands-On Learning for Beginners+An in-Depth Guide Beyond the Basics+A Practical Guide for Experts
Softcover
ISBN 10: 1708413022 ISBN 13: 9781708413026
Verlag: Independently published, 2019

Inhaltsangabe

Your Ultimate guide to Machine Learning With Python


Machine learning is the hottest new field but it isn't exactly easy to jump right in and start creating intelligent systems. There is the heavy jargon and math to deal with, not to mention the structure of Python itself which makes it difficult to learn things the right way.

Well, don't give up just yet! Machine Learning with Python by author Travis Booth is going to walk you step by step through everything you need to know about this fascinating field. Whether you're a rank beginner or an expert looking for a challenging guide, this guide will have everything you need!

Filled with tips and tricks about Python and practical examples which will have you creating natural language processing algorithms in a few days along with expert advice on how to best approach this challenging subject, this is one guide you do not want to miss!

Inside you will also learn all about:

  • ML basics- Comparing learning models, regression analysis and much more
  • Machine learning computations- ideal for beginners with practical examples
  • Python for finance- financial applications of machine learning
  • Natural language processing
  • Sentiment analysis using ML algorithms

  • Learn how to create your own ML models for real world application

and so much more!

Start your learning in in Python right and join the thousands of coders who have discovered the power of this wonderful framework! Click buy now!

Bonus: Buy the paperback and get the ebook absolutely free!

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Verlag
Independently published
Erscheinungsdatum
2019
Sprache
Englisch
ISBN 10 
1708413022
ISBN 13 
9781708413026
Einband
Taschenbuch
Anzahl der Seiten
576
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar