You are here

Back to top

Python Machine Learning: Practical guide & techniques for working with scikit-learn, tensonflorw & neaural networks starting from data (Paperback)

Python Machine Learning: Practical guide & techniques for working with scikit-learn, tensonflorw & neaural networks starting from data Cover Image
$25.29
This item is not available this time

Description


What do you know about Python, are you afraid it's not enough ?
Moving to a higher level is your next goal ?



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



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

By scrolling to the top of the page, select " Add to Cart " button


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



Product Details
ISBN: 9781070792316
ISBN-10: 1070792314
Publisher: Independently Published
Publication Date: May 31st, 2019
Pages: 240
Language: English