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

Machine Learning: For Beginners, Book 2

De: Ken Richards

Narrado por: Jacob Ford

"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 Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded.”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

Helpful Guide!

Perfect guide for people new to the idea of machine learning. Got me up to speed and answered my questions very quickly. Happy I went ahead and gave this one a listen. Nice work. Definitely recommend!

Perfect for beginners

This audiobook is a great guide for anyone who is curious about machine learning just like me,but has no idea where to start. I imagine there are a lot of people who tried to google and
got frustrated and gave up wishing someone would just give them a high-level explanation about this ML. That’s why when my sister referred this book, without hesitations, i grabbed it right away..

pretty nice outline of ML

Nice outline. I’m not really good with Math, algorithms, and all, but this book gave me the reasons to explore more on machine learning.

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.

Fun and easy!!!

I find this in-depth audiobook enjoyable to listen to even though there are many buzzwords and complex lessons. It’s because of the simplified way the author has incorporated and the integration of real-world examples. The variety of machine-learning models introduced makes machine learning fun and easier.