• Your Definitive Guide for Machine Learning Framework, Machine Learning Model, Bayes Theorem, Decision Trees

  • Machine Learning: For Beginners, Book 2
  • By: Ken Richards
  • Narrated by: Jacob Ford
  • Length: 1 hr and 45 mins
  • Unabridged Audiobook
  • Release date: 01-31-18
  • Language: English
  • Publisher: Ken Richards
  • 5 out of 5 stars 4.8 (16 ratings)

Regular price: $6.95

Membership details Membership details
  • A 30-day trial plus your first audiobook, free.
  • 1 credit/month after trial – good for any book, any price.
  • Easy exchanges – swap any book you don’t love.
  • Keep your audiobooks, even if you cancel.
  • After your trial, Audible is just $14.95/month.
Select or Add a new payment method

Buy Now with 1 Credit

By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Buy Now for $6.95

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Add to Library for $0.00

By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's Summary

"Artificial Intelligence, deep learning, machine learning - whatever you're doing if you don't understand it - learn it. Because otherwise you're going to be a dinosaur within three years." (Mark Cuban)  
“The development of full artificial intelligence could spell the end of the human race.... It would take off on its own, and re-design itself at an ever increasing rate. Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded.” (Stephen Hawking)
Discover and learn all about machine learning in this book. You will understand and learn more about machine learning with the proper frameworks to solve problems.
Have you seen or read about the automated driverless cars cruising the road and highways?
Don’t you want to learn more about the framework that institutions and companies are using for machine learning?
Wouldn’t you want to find out the types of real-life problems that are solved by various machine learning models?
Machine learning usage has been looming around us yet most of us are still uninformed about its applications and how it can improve daily life. 
"Machine learning is about taking the data that anyone might have - whether it's a sports franchise or an industrial manufacturer - and using algorithms to actually reason over the data and to predict outcomes that a businessperson can use to make better decisions.” (Christopher Matthews)
In this book, Machine Learning: For Beginners - Your Definitive Guide for Machine Learning Framework, Machine Learning Model, Bayes Theorem, Decision Trees:


Learn how to choose a machine-learning framework in terms of speed, scalability, and ease of use
Learn how to use the right machine-learning model for different types of problems 
More in-depth discussion on anomalies and anomaly detection techniques
Understand association analysis concepts and rules 
Explore probability theory, Bayes theorem, decision trees 
Learn how to optimize your machine learning model 
And much more....
Final words:
Perhaps even if you feel that you may know some of the subjects discussed here, be open and give this book a chance. You may find a new perspective, learn something new and pick up some valuable tools that dropped off your radar. It's written in an informative way for easy listening.
©2018 Ken Richards (P)2018 Ken Richards
Show More Show Less

Customer Reviews

Most Helpful
4 out of 5 stars
By Anonymous User on 07-17-18

Fair enough

Has introduced me to more advanced topics concerning machine learning. This surely shed some light and I’ll be looking out for more of this author’s works.

Read More Hide me
5 out of 5 stars
By Valerie Stillman on 04-03-18

advanced concepts

A number of advanced concepts here. Uncover data relationships through association analysis. It’s one of the details I favor in this book. Creating trees have been made easy for making decisions.

Read More Hide me
See all Reviews