Machine Learning: The Ultimate Beginner's Guide to Understanding Machine Learning Concepts and Techniques

by Adam Jaxon

★★Buy the Paperback Version of this Book and get the Kindle Book version for FREE ★★


Every day, someone is giving up learning about machine learning. Many people miss out on continuing their career, and maybe even progressing our species without even realizing it.

You see, most beginners perform the same mistakes when they delve into the subject of machine learning. They start with a resource that contains too much-unrelated data, math, and programming language that will put them to sleep instead of igniting their passion.

But that is about to change. This unique book on Machine Learning will illustrate the concepts, methods and history behind machine learning,


including whereby our computers became considerably more powerful but infinitely less intelligent than ever and why all technology companies and their grandmother they want to follow us 24 hours a day, 7 days a week, by diverting the data points of our electronic devices so that they are processed by the programs that they try to become virtual crystal balls, predicting our thoughts before we even have them Most of the book looks like science fiction because, in a sense, it goes far behind what a common person would be willing to accept is happening.

These are some of the topics covered in this book:

About Machine Learning


Introduction to machine learning


Application of machine learning 


Statistical Learning 


Natural language processing


How do machines learn?


Learning methods


Taste of machine learning


Deep Learning


Understanding the Functioning of Deep Learning Data Mining


The main stages of the KDD over

 And much more!

Get this book now to learn more about machine learning!

84 pages, Kindle Edition

Published June 22, 2019

Reviews

[Zine Smith · Rating 3 out of 5]

Basic Information

The book is in need of edits. Numerous errors in the text. The code portion of the text includes foreign language. The equations appear to be MathML or Latex that has not been converted to imagine. The book also references images not included.