PYTHON MACHINE LEARNING: Practical guide & techniques for working with scikit-learn, tensonflorw & neaural networks starting from data (BEGINNER'S APPROACH)

What do you know about Python, are you afraid it’s not enough ?

Moving to a higher level is your next goal ?

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Machine learning is changing every aspect of our lives !!!

Today, ML algorithms accomplish tasks that until recently only expert humans could perform and, as machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities.

Programmers who know close to nothing about this technology, now, can use simple, efficient tools to implement programs capable of learning from data.

In this practical guide, you will discover:

• Understand the key frameworks in ML
  

• Latest Python open source libraries in ML

• ML techniques using real-world data

• The ML Classifiers Using Scikit-Learn

• Implementing a Multilayer Artificial Neural Network from Scratch

• The Mechanics of TensorFlow

• ML Model into a Web Application

• The future of ML
  

You are required to have installed the following on your computer:

• Python 3.X
  

• Numpy
  

• Pandas
  

• Matplotlib
  

This book offers a lot of insight into machine learning for both beginners, as well as for professionals, who already use some machine learning techniques.

Using the latest Python open source libraries, this book offers the practical knowledge you need to create and contribute to machine learning and modern data analysis.

Get a copy, of Python Machine Learning, today and see where the future lies !

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★★★ Buy the Paperback version and get the Kindle Book versions for FREE ★★★