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Machine Learning

A Comprehensive, Step-by-Step Guide to Learning and Applying Advanced Concepts and Techniques in Machine Learning
Narrated by: Cliff Weldon
Length: 3 hrs and 10 mins
5 out of 5 stars (5 ratings)
Regular price: £13.79
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Summary

Do you have a clear understanding of the different types of machine learning algorithms? Do you know what a neural network is and how you can build it?

If you have listened to the second audiobook in the series, the answer to both of the questions is "Yes". If you want to gather more information about machine learning, deep learning, and neural networks, you have come to the right place.

Over the course of the audiobook, you will gather information on the following:

  1. The difference between machine learning and deep learning
  2. Python libraries
  3. Advantages of using Python
  4. Developing supervised and unsupervised machine learning algorithms in Python
  5. Assessing or evaluating a neural network

The information in this audiobook will help you gather a clear understanding of what machine learning is, how you can build different models, and where you can use these models. You can use the programs given in the audiobook as a sample or a base for you to build your programs. If you are still learning how to code in Python, you can simply copy the code in the audiobooks and analyze different input data sets.

So, what are you waiting for? Grab this audiobook now and build your very own regression and clustering machine learning algorithms.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.

©2019 Peter Bradley (P)2019 Peter Bradley

What members say

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highly recommended

Easy to understand, good for people that want to know machine learning. Really loved reading this book.

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satisfied

This book left me feeling satisfied, yet was not overwhelming to read. Would reccomend fpr anyone wanting to know more about the workings of machine learning without having to have an advanced math or programming background.

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interesting

This book gives a fantastic overview and helps while studying a related book on python.

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helpful book

I hope this book is able to help you very much. This book gave me a lot of information about machine learning.This is more than my expectations ,thanks author for such a great book!

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interesting guide

This is the first Machine Learning book I’ve read that didn’t rocket right past me in the third chapter. The author knows their stuff, but doesn’t mind slowing down and explaining what it all means in a well thought out way.

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  • Umar Khan
  • 21-02-19

Machine learning

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

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  • arya
  • 21-02-19

Follow this 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.

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  • Syed
  • 21-02-19

Informative book

the author also explains the pros and cons of both methodologies and when they are useful or a complete waste of time/money.

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  • Anonymous User
  • 21-02-19

Learning about machine learning

My own expertise is in mobile web development, which is outside the scope of this book title, but I had no problems going through it.

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  • Raja
  • 21-02-19

pick up this book

Clear and concise introduction to ML. If you don’t have a background in data science, I wouldn’t let this stop you from picking up this book.

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  • Raji
  • 21-02-19

step by step book

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

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  • Veer
  • 21-02-19

Works best

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

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  • Safisha
  • 21-02-19

Best concept

Lots of real world scenario, prefect example is one of the best features of these books.

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  • Kamal
  • 21-02-19

Good

I would like to tell everybody, this two books are really great for who really want to jump in machine learning field.

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  • keerthy
  • 21-02-19

listening to it

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.