Machine Learning Algorithms & Markov Models Supervised And Unsupervised Learning with Python & Data Science 2 Manuscripts in 1 Book

By William Sullivan

2 Books in 1
Do not miss out on the bundle book offer
300+ pages of valuable content What You'll Learn Book 1 Machine Learning
You will learn the fundamentals of machine learning from algorithms, python, supervised and unsupervised learning
Concepts such as " decision trees " & "random forest introduction" are explained in detail and come with visual diagrams to assist in grasping the subject matter
You will learn real world applications of machine learning, artificial intelligence and understand how it will effect humanity in the upcoming years
The world is constantly changing and evolving, transportation was revolutionized by cars and planes, however, "machine learning" will revolutionize the world in which we live from simple day to day tasks to even the most complex endeavors
Book 2 Markov Models
In the segment of the bundle book you will learn the mathematics behind Markov Models algorithms, artificial intelligence, weather reporting, Bayesian inference, tools, solutions and much, much more You will gain insights to the 3 main problems of Markov Models and learn how to overcome them. You will also learn about the real world applications, implications and theories of Markov Models
This is an incredible offer you do not want to miss out on This bundle book offer gives you so much value at an affordable price you won't find anywhere else
What are you waiting for?
Grab your copy now
Note* For the best visual experience of diagrams it is highly recommended you purchases the paperback version of the bundle book offer
First time audible listeners get a 30 day free-trial and 2 free audible books when signing up for the first time.
Audible Link: https: //www.audible.com/t2/title?asin=B078C8J4SG

• Format: Paperback
• Language: English
• ISBN: 1978170955
• ISBN13: 9781978170957
• Release Date: October 2017
• Publisher: Createspace Independent Publishing Platform
• Length: 384 Pages
• Weight: 1.09 lbs.
• Dimensions: 0.8" x 5.0" x 8.0"