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

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 Humans, who are limited by slow biological evolution, couldn't compete, and would be superseded.”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

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.

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!

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.

Amazing Audiobook!

I bought this audiobook with the sole purpose to learn about the Machine learning and its recent hype. This book has visual diagrams to simplify the complexity of the topic. I had also bought a high cost book from the famous author only to feel that it’s too much overwhelming for me. Even those high-valued books had similar mistakes and minor errors. This book gave me all the necessary details needed to get started and also introduced me to Python programming with no extra cost. This book is a complete package for anyone interested in learning ML with practical examples and projects.

This is easy to understand

This is a very insightful audiobook and of great help not only to those people who don’t have any idea but also to those people who are just started to take baby steps in the field of machine learning. Having this will surely feed you information about Machine Learning. It’s truly interesting and I like how the author explained and delivered the topic very well and i liked also how it is narrated with a very clear voice. I recommend this and the author did a great job.

I enjoyed this audiobook

As what i understand from this book, Machine Learning is an incredibly powerful tool. I believed in the coming years, it promises to help solve some of our most pressing problems, as well as open up whole new worlds of opportunity. This audiobook covered much of the basic theory underlying the field of Machine Learning. I really enjoyed listening since the narrator has a very good voice and his explanation were easy to catch up. I totally recommend this to my friends.

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.

I appreciate this audiobook

I had no idea what ML was until i found this audiobook. This material had gave me a better understanding about the topic and its related notions.. Thanks for introduction to ML in such a low level manner because you made it very easy to understand for a beginner like me.. I super appreciate this. Thumbs up for both the author and narrator.