Machine Learning & Markov Models

De: William Sullivan

Narrado por: Lukas Arnold

Two audiobooks in one. Do not miss out on the bundle book offer! What you'll learn:

Book one: Machine Learning

You will learn the fundamentals of machine learning from algorithms, Python, and supervised and unsupervised learning. Concepts such as decision trees and random forest introduction are explained in detail to assist in grasping the subject matter. You will learn real world applications of machine learning (artificial intelligence) and understand how it will affect 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 two: Markov Models

In this segment of the bundle, you will learn the mathematics behind Markov model algorithms, artificial intelligence, weather reporting, Bayesian inference, tools, solutions, and much, much more! You will gain insights to the three 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.

©2017 Healthy Pragmatic Solutions Inc. (P)2017 Healthy Pragmatic Solutions Inc.

thanks

This books...........books that are able to explain the algorithms and other processes without speaking linear algebra.
Great Book! Very practical guide on Machine Learning.
Thanks

very helpful

I find this book helpful and interesting! This book has a great overview including the math involved, which is explained Ina creative but intuitive way.However, I still think this is a great book. The chapter on deep learning (a new chapter) is exceptionally clear and well explained

informative

A very informative book. Good advices and tips that work and a great beginners guide for me. I have learned so much from it. I recommend and thank you to the author

nice book

Good book on machine learning, you can find a lot of info about different algorithms and other things in this book!

quick guide

I quickly looked through some deep learning chapters and enjoyed it, it's not complex and the author did nice job to explain it clearly.