Python Machine Learning

Everything You Should Know About Python Machine Learning Including Scikit Learn, Numpy, Py Torch, Keras and Tensorflow with Step-by-Step Examples and Practical Exercises
Narrated by: Adam Hebert
Length: 3 hrs and 27 mins
5.0 out of 5 stars (178 ratings)

Audible Premium Plus

$14.95 a month

1 audiobook of your choice.
Stream or download thousands of included titles.
$14.95 a month after 30 days. Cancel anytime.
Buy for $14.95

Buy for $14.95

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's Summary

The world of machine learning is changing all the time. The idea that we are able to take a computer and let it learn as it goes is so amazing. Without having to write out all of the codes that we need for every situation out there, or every input that the user may pick, we are able to write out codes in machine learning, even with Python, in order to let the computer or device learn and make decisions on its own.

This audiobook is going to take a closer look at how Python machine learning is able to work, as well as how you can use some of the tools and techniques that come with this process for your own needs. If you are interested in knowing more about what machine learning is all about, as well as how you can use a part of the coding from Python inside of this process, then this guidebook is the tool for you! 

Some of the topics that we will explore in this audiobook include:

  • Understanding some of the basics of machine learning
  • Different parts that you need to know to get started with machine learning and the Python language
  • What is Python and some of the basic parts of writing codes in this language
  • How to set up the right environment in Python and get the libraries set up
  • Understanding the Scikit-Learn library, and why it is so important to work with this type of library
  • How to work with the K-Nearest Neighbors (KNN) algorithm
  • What are support vector machines, random forest algorithm, and recurrent neural networks?
  • What are linear classifiers?
  • How K-Means clustering is going to be different from KNN
  • Other great things that you are able to do with Python machine learning

The field of machine learning is growing exponentially and with the help of Python and all of the cool tools and libraries that comes with it, you will find that there are endless possibilities of what you will be able to do with it. When you are ready to learn more about Python machine learning and when you want to be able to work toward your own projects and applications with this cool topic, make sure to check out this audiobook to help you get started!

Scroll to the top of the page and select the buy now button!

©2019 Joseph Mining (P)2019 Joseph Mining

What listeners say about Python Machine Learning

Average Customer Ratings
Overall
  • 5 out of 5 stars
  • 5 Stars
    176
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    1
  • 1 Stars
    1
Performance
  • 5 out of 5 stars
  • 5 Stars
    175
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    1
  • 1 Stars
    2
Story
  • 5 out of 5 stars
  • 5 Stars
    176
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    2

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    1 out of 5 stars
  • Performance
    2 out of 5 stars
  • Story
    1 out of 5 stars

unusable

get the book, this is just not a usable format. having someone read word byword large pieces of code is just a waste of time.

2 people found this helpful

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

I just lost a lot of confidence in Audible reviews

This book is a chore to listen to and doesn't actually provide any useful knowledge. He skirts along the concepts of machine learning, promising how useful and powerful they're going to be, and never actually approaches the details or algorithms that make it work. It sounds like a computer is reading the book, and the coding portions are - I should have known - not very compatible with an audiobook format. I am already somewhat familiar with both python and machine learning, and regret having spent 3 hours on this book.

3 people found this helpful

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

I follow this audiobook

The clever choice of presenting applied case studies hand in hand with the corresponding math using python adds a lot of value to the audiobook this allows one to deep dive into pandas.

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

The audiobook presents a very well

This updated and expanded edition of python machine learning is a must-have for every person involved with practical machine learning. The audiobook presents a very well thought overview of a wide range of machine learning algorithms

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

I'm very pleased with this audiobook.

I'm very pleased with this audiobook. It includes a completely practical approach to machine learning topics. I especially like that Sebastian develops algorithms from first principles, before showing the equivalent in libraries such as Scikit-Learn.

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

Important listen for everything

I was wary of the expenditure and the content. After a minute or two listen to the audiobook, I changed my mind. This audiobook is clearly worth the price. It has the tools you will get more than what you paid for.

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

Great book for anyone who is interested in ML!!

Computers were born rare big calculators evolving fast to a diverse, distributed and ubiquitous platform for general computation. What a pace! In parallel, all human end devours are getting digital creating massive amounts of data. In this book Joseph discuss how we are trying to teach computers to learn from such data. The whole thing is structured in a timely manner together with its historic context.

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

This is a very informative book.

A brief, but useful, volume. It could have been a little more detailed, in my opinion. This is good for beginners.

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

Great Python Machine Learning

Phenomenal book. The author does a great job of making complicated concepts simple. One criticism is the author writes a lot in passive voice. However, the book does a great job of explaining machine learning.

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

Good Introduction

This is a good introduction to machine learning. However, if you are looking how to construct your own ML algorithms, you will need to turn to the online community. This book was created to give you a general overview of ML.

Sort by:
Filter by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Brian Abbott
  • Brian Abbott
  • 11-17-19

A comprehensive guide to turning me feel deeply

we will look at data wrangling visualization, wet applications, and accelerated data analysis that can be done with the help of the Python language.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Fernando Scudder
  • Fernando Scudder
  • 11-17-19

I have become realized well from this audible

This is an essential guide for everyone. There are going to be two parts that come with this one. We either learned this from experience when at some time in our past we had touched one of these plates and know that it hurt.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for James Allen
  • James Allen
  • 11-17-19

There is a great deal with this audible

I would recommend this course to everybody able to understand spoken English. This course can help to understand dynamics hidden behind machine learning with python.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for  Gerald L. Vargas
  • Gerald L. Vargas
  • 11-15-19

Good overview for everyone.

Explanations and examples are easy to follow. The book provided a concise discussion of the relationship of Machine language to Artificial Intelligence. Excellent listen and a great introduction to two very complex topics.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Gina J. Griffin
  • Gina J. Griffin
  • 11-15-19

A fantastic machine learning resource

A fantastic machine learning resource for hands-on learning. I am half-way through and find it a little challenging, but definitely attainable. This balance I consider to be putting me right in the sweet spot for learning.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Nyah Ward
  • Nyah Ward
  • 11-15-19

This audiobook is excellent

This audiobook provides a great starting place to research how-to do a piece of code and what can be done with bits of code to achieve the end for which I am looking. This audiobook is excellent for the following python machine learning.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Juan J. Vasquez
  • Juan J. Vasquez
  • 11-15-19

Great introduction to machine learning in Python.

Great introduction to machine learning in Python. I collect Python coding audiobooks like people collect stamps or coins. My version of this large tome is well worn and noted.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Mary M. Curtis
  • Mary M. Curtis
  • 11-15-19

Good knowledge of machine learning

This is perspective of someone who knows a little python and had little knowledge of machine learning, but has kind of seen neural nets and regressions used in different applications

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Francis C. Epps
  • Francis C. Epps
  • 11-15-19

This is a nice way to reduce the complexity

The explanations were mainly done by showing examples how the different techniques separate the data to make a decision. This is a nice way to reduce the complexity of explanation and getting lost in the details of the mathematics.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
Profile Image for Ryan Jarvis
  • Ryan Jarvis
  • 11-15-19

I found this audiobook to be very clearly

This makes it even easier to follow along in the audiobook; all you need to do is open up the code and see exactly what is going on. I found this audiobook to be very clearly 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.