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Publisher's Summary

Python Machine Learning 

Machine learning is the science of getting machines and computers to act and learn on their own without being programmed explicitly. In just the past decade, this field has given us practical speech recognition, self-driving cars, a greatly improved understanding of the overall human genome, effective web search and much more. Therefore, there is no wondering why machine learning is so pervasive today.  

In this audiobook, you will learn more about interpreting machine learning techniques using Python. You will also gain practice as you implement the most popular machine learning techniques on some real-world examples, and you will learn both about the theoretical and practical machine learning implementation using Python's machine learning libraries.  

At the end of the audiobook, you will be able to cope with more complex machine learning issues, solving your own problems using Python and its libraries specifically crafted for machine learning.  

Here is a preview of hat you'll learn from this audiobook:

  • Basics behind machine learning techniques
  • Different machine learning algorithms 
  • Fundamental machine learning applications and their importance
  • Getting started with machine learning in Python, installing and starting SciPy 
  • Loading data and importing different libraries 
  • Data summarization and data visualization
  • Evaluation of machine learning models and making predictions
  • Most commonly used machine learning algorithms, linear and logistic regression, decision trees support vector machines, k-nearest neighbors, random forests
  • Solving multi-clasisfication problems 
  • Data visualization with Matplotlib and data transformation with Pandas and Scikit-learn 
  • Solving multi-label classification problems 
  • And much, much more
©2018 Frank Millstein (P)2018 Frank Millstein

What members say

Average Customer Ratings

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  • Overall
    1 out of 5 stars

Don't bother

The author (narrator) reads code mostly. They did not bother tailoring content for an audiobook.

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amazing

Great content to get you started. Definitely one of those books you would highlight in and go back to often. I'll certainly purchase the paperback version too.

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learning to it interestly

This Book Is Great! easy to read and Understand, Step by Step! Worth every penny!
Would Highly recommend this book!

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Thanks to the author

this book has been very helpful and extremely accurate! I'll definitely be referencing back to it!! thank you
I am at the stage of accepting who I am and wanting to develop my gift so again, thank you!

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effective guide


"This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. My goal is to offer a guide to the parts of the Python programming language and its data-oriented library ecosystem and tools that will equip you to become an effective data analyst

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overall good

Overall, I think this is the go-to resource for learning how to use Python’s data wrangling libraries in conjunction with Python.

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nice book

great information in this audio book. loved every second about to listen to it again. I'm very blessed to you make it feel like we are very special to the universe which we are. 💖

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    5 out of 5 stars

nice book

An ideal book for both beginners and experienced online business players. Because here it is well described the importance of each step, as well as what will be if treated lightly.

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great

Often I'll go back to this book and I'll be reminded of features that I forgot existed. The book is quick to listen by virtue of the clarity of its examples and the organization of the material.

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first job


This book gave me my first job. And I am still learning it. It is simple, talks some general idea why functions design like this, and introduces some practical functions

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  • adam
  • 05-23-18

impressed me

I was actually impressed by how much useful information squeezed in such a short book. This book causes me to profoundly make a few information investigation effectively. This is absolutely the best one.

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    5 out of 5 stars
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  • Reinaldo Costa
  • 05-23-18

thanks to the author


Python is open source, cross platform and nearly ubiquitous. In fact, if you are using a Mac or Linux system there is a good chance it is already installed on your computer. To check, open up a terminal window and issue the following command. thanks to the author!☺

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  • riya
  • 05-23-18

extremely well

The explainer composes extremely well. He portray here bunches of imperative things about Python programming.

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    5 out of 5 stars
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  • riyakhan
  • 05-23-18

nice

I think this is one of the great book to learn about python programming. This book shall introduce you to an easy way to learn Python in a few days

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    5 out of 5 stars
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  • shabrish
  • 05-23-18

awesome job

I would definitely recommend this book to people who want to get started with machine learning in Python.

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    5 out of 5 stars
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  • Anonymous User
  • 05-23-18

great ML book

this book teaches you how to implement those algorithms into code, with lots of practical problems and easy-to-understand example code. Also, the additional graphs and images helped me visualize the concepts. Highly recommended!
One person found this helpful

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  • Anonymous User
  • 05-23-18

great work

Excellent work, uptodate and very relevant for the applications of the day!. Every algorithm works and is applicable easily.

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  • Anonymous User
  • 05-23-18

easy to understand

This is an excellent book, even for beginners like me! I liked how the author breaks down each topic to explain it in simple terms. I'm a Python beginner, but the code was pretty easy to follow.

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  • Anonymous User
  • 05-23-18

you need it

You definitely need to know something about Python! Wouldn't hurt to know something about statistics either. I did have to update some of the libraries, however.

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  • Anonymous User
  • 05-23-18

useful book


It is a good reference book for people who are getting started with building artificial intelligence applications in python. It contains many recipes that help you implement various concepts. You definitely need some knowledge of python to understand the chapters. This book is not meant to teach you artificial intelligence but I found it useful to implement the applications in python