Machine Learning: A Comprehensive, Step-by-Step Guide to Intermediate Concepts and Techniques in Machine Learning

By: Peter Bradley

Narrated by: Cliff Weldon

Length: 2 hrs and 30 mins

Publisher's Summary

Do you want to impress the processes that you are working on? Do you want to make your machines more intelligent? If your answer to any of those questions is yes, then you have come to the right place. 

This audiobook is a sequel to the book titled Machine Learning: A Step-by-Step Guide. In the first book, you gathered information on what machine learning is, and the different algorithms that one needs to know. This book is for those who have a basic understanding of what machine learning is.

In this audiobook, you will gather information on:  

• Practical examples of machine learning
• How to build a machine learning algorithm in Python
• An introduction to deep learning and neural networks
• How to create a neural network in Python using Keras

And much more....

The audiobook breaks the process of building a machine-learning model in Python into simple steps. These steps will help you build your very own machine-learning model from scratch. You should first build the model using the programs and scripts given in the book before you build your model from scratch. If you want to learn more about what you can do with machine learning, then this is the perfect audiobook for you.

©2018 Peter Bradley (P)2019 Peter Bradley

prefect guide

I hope that's the perfect guidebook for all. Well written via writer. If your interest takes it and follows up. Thankful for Author.

love this book

The book it's a pretty good introduction to the machine learning field as the name suggests. It's enough to give you a quick grasp of some of the most used concepts in the machine learning field

Highly recommended

Excellent book for an absolute beginner who wants to understand the terms and get introduced to the subject. Would definitely recommend to all beginners.

Useful book

I really enjoy and learn lots of basic things to start my career in Machine Learning.

Step by step book

Happy to offer this book a glowing endorsement to beginners. Nothing in this book is intimidating. I was worried that I might get lost halfway through after the author started introducing the various algorithms.

New to ML

New to ML but have done programming in previous jobs. Found this book extremely helpful.

Thanks for the author

I hope that's the perfect guidebook for all. Well written via writer. If your interest takes it and follows up. Thankful for Author.

Informative book

I'm an R user and so the Python code sections weren't of much interest to me; but those sections are small. Most of the book deals with description of machine learning techniques rather than examples.

Ideal book for learning theory of machine learnin

Ideal book for learning theory of machine learning, in order to get a deeper understanding of practical algorithms.

I've found this to be a unified presentation that

I've found this to be a unified presentation that is somewhat easier to follow than any of the other big ML books, the author is a wonderful teacher.