Learn Python: The Ultimate Beginner's Guide to Python for Machine Learning and Deep Learning Using scikit-learn and tensorflow with Hands-On Projects - Paperback

Learn Python: The Ultimate Beginner's Guide to Python for Machine Learning and Deep Learning Using scikit-learn and tensorflow with Hands-On Projects - Paperback

$27.80
Sale price  $27.80 Regular price 
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Learn Python: The Ultimate Beginner's Guide to Python for Machine Learning and Deep Learning Using scikit-learn and tensorflow with Hands-On Projects - Paperback

Learn Python: The Ultimate Beginner's Guide to Python for Machine Learning and Deep Learning Using scikit-learn and tensorflow with Hands-On Projects - Paperback

$27.80
Sale price  $27.80 Regular price 

by Zed Fast (Author)

If you want to learn machine learning algorithms from scratch then read more.


Artificial Intelligence is everywhere. You are certainly using it every day. One of the popular applications of it is Machine Learning (ML), in which computers, software, and devices perform via cognition similarly to human brain. Machine learning is an important part of personal assistant like Siri, Alexa, Google Now or search engine results or traffic predictions and much more.


With this book you will learn fundamentals of machine learning, the underlying challenges with example from open source data sets that you can easily access and get your hands dirty.


You will learn:

  • The most popular and widely used machine learning algorithms
  • Fundamentals of machine learning used every day for thousands of algorithms
  • The different stages to create training data set
  • Scikit-Learn library to develop machine learning models using pictures and actual Python code
  • The end to end process of creating and training Neural Network models using the TensorFlow


Learn Python includes actual Python code that you can put to practical use. Even if you've never read anything about machine learning you will get a precise tutorial on how to start.

Scroll up and buy now to start coding machine learning algorithms in just 4 weeks.
Number of Pages: 182
Dimensions: 0.39 x 9 x 6 IN
Publication Date: December 01, 2019

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