Your audiobook is waiting…

Python Machine Learning

The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step
Narrated by: Russell Newton
Length: 3 hrs and 45 mins
4.5 out of 5 stars (51 ratings)

$14.95/month after 30 days. Cancel anytime.

OR
In Cart

Publisher's Summary

If you’ve worked with another type of programming, you’re in luck. Translating programming languages is a cinch. Many programs use the same or similar codes and coding techniques. Not only does further learning and adaptations to various programming languages help you to understand machinery, but you will also be able to move to and from languages with veritable ease. 

If you’ve never used Python before, it’s common to experience some difficulties translating what you know into Python’s language. Python, however, is one of the easiest forms of programming and is a great starter for anyone who wants to pick up on various languages. Quite often, Python can be found inexpensively or free, if you’re willing to look for it. 

Programming provides the means for electronics and various technology to operate and learn based on your behaviors. If you are familiar with devices such as Apple’s Siri, Google Home, and others, you’ll recognize that these devices are based on programming. Data acquisition through direct interaction with humans gives these devices the means to grow and enhance. 

If you understand this kind of programming or are eager to start learning how you can make and improve your own devices, continue reading. Now we’ll concentrate on attaining the skills to work with programming on all levels. 

What is machine learning?

The learning process begins with data or observations, like instruction, direct experience, or examples of extracting patterns from the data and using these patterns to make predictions in the future (Bose, 2019). The primary goal of machine learning is to allow computers to learn automatically without intervention by humans and adjust accordingly. 

With machine learning, we can analyze large quantities of data. Machine learning gives us profitable results, but we may need a number of resources to reach this point. Additional time may be needed to train the machine learning models.

©2019 Ryan Turner (P)2019 Ryan Turner

What members say

Average Customer Ratings

Overall

  • 4.5 out of 5 stars
  • 5 Stars
    33
  • 4 Stars
    12
  • 3 Stars
    6
  • 2 Stars
    0
  • 1 Stars
    0

Performance

  • 4.5 out of 5 stars
  • 5 Stars
    31
  • 4 Stars
    13
  • 3 Stars
    6
  • 2 Stars
    0
  • 1 Stars
    0

Story

  • 4.5 out of 5 stars
  • 5 Stars
    31
  • 4 Stars
    12
  • 3 Stars
    7
  • 2 Stars
    0
  • 1 Stars
    0
Sort by:
  • Overall
    4 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    4 out of 5 stars

The combination of reasonably explained

The combination of reasonably explained math and excellent code examples is what makes this book excellent. It also always gives a good reference for going deeper.

  • Overall
    4 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    5 out of 5 stars

This is the best book to learn

This is the best book to learn about Python Programming Machine Learning. This looks like a crash course not in twelve hours but in three days I learn and understand Python.

  • Overall
    4 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    3 out of 5 stars

I would recommend to aspiring data scie

I would recommend to aspiring data scientist of all levels especially to those who are eager to get more exposure to machine learning. This book is one of the better written machine learning book who should be a mandatory listen on the subject

  • Overall
    5 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    3 out of 5 stars

This book shows some excellent uses

This book shows some excellent uses of scikit learn. Intermediate python user level.Easy book, Well Written By the Author.Good step by step writing .

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars

I am a generally new at python,

I am a generally new at python, and have never been related with a portion of the libraries in the book. The coding was immediatly over my head yet was realatively simple to make sense of. Simply going throught the coding and examining what was happening has shown me a lot about python and the AI/math libraries. In the event that you really need to learn, and are not hesitant to put in some additional homework, I exceptionally recommend this book.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Easy to listen and well written!

Easy to listen and well written! This guide explained almost everything you need to know about Python Machine Learning. Through this book, I learned this programming language in a easier and step by step approach. Overall, it was great listen!

  • Overall
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    4 out of 5 stars

I definitely recommend this book

I definitely recommend this book for anyone who is starting to make sense of the machine learning. The author put much effort to using many examples and analogies to make it more easy to comprehensible.

  • Overall
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    5 out of 5 stars

A good introduction to neural networks

A good introduction to neural networks that is more beginner-friendly than most. You don't need a good understanding of calculus or Algebra.

  • Overall
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    4 out of 5 stars

This book provides a great introduction

This book provides a great introduction to deep and reinforcement learning. First, It does a good job at explaining in detail the basics of neural networks. Then, it gradually introduces more complex models like convolutional and recurrent networks in an easy to understand way.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars

The author does a good job

The author does a good job of trying to present information in such a way that it gets you thinking about the problems you are trying to solve. The second chapter is a full-blown project to take you through the full development cycle

Sort by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars
Profile Image for Chelsea
  • Chelsea
  • 10-10-19

An incredible book on and Machine Learning.

An incredible book on and Machine Learning. The author truly knows his stuff. Having added to learn and composing the extraordinary extent library he talks with an expert on the themes secured.

  • Overall
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    4 out of 5 stars
Profile Image for Joyce
  • Joyce
  • 10-09-19

I like how the book is written

I like how the book is written in a great clarified way. The writer ensures that the perusers can see each detail of this book.

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Hargreaves
  • Hargreaves
  • 10-08-19

I found this book to be very clear

I found this book to be very clearly written and also very informative since in addition to providing code examples it tried to illustrate the basics of theory behind what makes machine learning work.

  • Overall
    4 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    4 out of 5 stars
Profile Image for Green
  • Green
  • 10-08-19

This is a great book.

This is a great book. It gives the mathematical definitions of popular machine learning algorithms and shows you how to implement them. Then it explains how to use them with scikit-learn which has much more efficient implementations.

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Patrick
  • Patrick
  • 10-08-19

This guide really stands on what it says.

This guide really stands on what it says. Learning the Python programming language is really hard if we do not have the right steps to study it.
This is a great book.

  • Overall
    4 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Anonymous User
  • Anonymous User
  • 10-08-19

Python programming

This book is perfect for only beginners because here you will get only the basics of Python programming. Everything inside of this book exact to the point and I didn’t face to get understand. Here I got few important info & lessons like: the history of machine learning, support vector machines, neural networks outlays and much more things.

  • Overall
    4 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Thornton
  • Thornton
  • 10-08-19

This book is perfect

This book is perfect for those who are into this kind of book and for those who wants to know more information about this topic this book will be very handy for you guys.

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars
Profile Image for Forster
  • Forster
  • 10-06-19

The best python book I've to listen to.

The best python book I've to listen to. From a new standpoint it was well written. However, if you're more experienced you might be disappointed.

  • Overall
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Walsh
  • Walsh
  • 10-06-19

I recommend it

As a complete beginner, the book was well written and easy to understand. The book taught me about neural networks without being condescending or amateurish. The author knows his stuff and was able to convey the information well. the illustrations were extremely helpful to a complete beginner and they definitely helped me comprehend and retain the information well. I recommend it

  • Overall
    4 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Kayleigh
  • Kayleigh
  • 10-06-19

Short explanation but well written.

Short explanation but well written. As with his other books, Gary Gold provides a lot of information in a short amount of writing, so it is just scratching at the surface instead of truly digging deep. But it is easy to understand and follow, light listening for the most part.