Regular price: $6.95

Membership details Membership details
  • A 30-day trial plus your first audiobook, free.
  • 1 credit/month after trial – good for any book, any price.
  • Easy exchanges – swap any book you don’t love.
  • Keep your audiobooks, even if you cancel.
  • After your trial, Audible is just $14.95/month.
OR
In Cart

Publisher's Summary

Machine Learning with TensorFlow 

TensorFlow is a powerful open source software library for performing various numerical data flow graphs. With its powerful resources, TensorFlow is perfect for machine learning enthusiasts, offering plenty of workspace where you can improve your machine learning techniques and build your own machine learning algorithms. 

Thanks to its capability, in recent times TensorFlow definitely has made its way into the software mainstream, so everyone who is interested in machine learning definitely should consider getting their hands on TensorFlow practices. 

With this book as your guide, you will get your hands on TensorFlow machine learning techniques, learn how to perform different neural network operations, learn how to deal with massive data sets, and learn how to build your first machine learning model for data classification.

Here's a preview of what you'll learn:

  • What is machine learning
  • Main uses and benefits of machine learning
  • How to get started with TensorFlow, installing and loading data 
  • Data flow graphs and basic TensorFlow expressions 
  • How to define your data flow graphs and how to use TensorBoard for data visualization 
  • Main TensorFlow operations and building tensors
  • How to perform data transformation using different techniques
  • How to build high performance data pipelines using TensorFlow Dataset framework
  • How to create TensorFlow iterators 
  • Creating MNIST classifiers with one-hot transformation

Get this audiobook now and learn how to do various machine learning tasks using TensorFlow!

©2018 Frank Millstein (P)2018 Frank Millstein

What members say

Average Customer Ratings

Overall

  • 5 out of 5 stars
  • 5 Stars
    45
  • 4 Stars
    2
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1

Performance

  • 5 out of 5 stars
  • 5 Stars
    40
  • 4 Stars
    7
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1

Story

  • 4.5 out of 5 stars
  • 5 Stars
    35
  • 4 Stars
    12
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1
Sort by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

useful book

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.

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

learning to it interestly

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

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

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!

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

nice book

Machine Learning can address and the types of problems that it can't. Most importantly I see how the field / discipline has emerged and the exciting possibilities of where it can emerge.

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

iformative

For anyone who is interested in learning the terminology and scope of approaches that comprise machine learning, this book is current, concise, and informative.

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

interesting

This author's Wonderful stories are very well written, exciting and enjoyable to listen. You don't want to put it down. Her stories flow quite well, there is never a dull moment.

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

amazing

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.

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

good listen

This gives us all the benefit of the lessons learned and feedback that had been provided to the author and also allows us all to get insight on the latest libraries and tools that were known and available when this book was updated.

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

stepping stone


Good book to get introduced into Machine Learning and Data Mining. You won't pick up any useful technical skills but you will have a good general understanding of Machine Learning. I would use this book as the first stepping stone into Machine Learning.

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

formulated ideas

The more you hew to the "normal" the better your recommendations will meet your expectations. Machine Learning tends to standardize our likes and dislikes, reinforcing our already formulated ideas.

Sort by:
  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars
  • adam
  • 05-23-18

knowledgable

It provides great fundamental knowledge and introduces Python language to beginners. I would recommend this to anyone who wishes to learn Python.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Reinaldo Costa
  • 05-23-18

five stars


Very good book.
Covers many of the important algorithms and necessary/required steps for Machine Learning, and does that in an approachable way.
Most likely the best book our there for introduction to machine learning (data science) with Python.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars
  • riya
  • 05-23-18

buy this


If you are looking for an extremely theoretical text on machine learning, then you might want to look elsewhere.
If you are looking for a guided introduction to the "bread-and-butter tools" of a great machine learning framework in Python, buy this.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • riyakhan
  • 05-23-18

develped guide


I bought this book to help me get up and running quick for a project in an "Introduction to Machine Learning" independent study course. Of the books I bought for the same task, this was by far the most helpful for building practical machine learning applications.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • shabrish
  • 05-23-18

well presented

I listen this book on my free time while on vacation, and much of the time I didn't have access to a computer. The concepts were so well presented that it was just a nice leisurely listen

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Anonymous User
  • 05-23-18

helpful

This is a great book for learning how to actually apply machine learning methods rather than focusing on the math and theory behind those methods., this book is a great companion to a classic machine learning audiobook such as Elements of Statistical Learning.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Anonymous User
  • 05-23-18

SIMPLY SUPERB


I found this book to be quite informative for someone who just get into machine learning. Lots of good examples provided..however, I want to see some more real world application examples rather than sample data sets.

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Anonymous User
  • 05-23-18

best book


This book covers all of the basics. It goes into ample detail about the assumptions that are made with different models. It also talks extensively about various algorithms fit for different, real life problems

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    4 out of 5 stars
  • Anonymous User
  • 05-23-18

recommended

clear explanations. If you are a beginner and have no experience, this is the book for you. Even if you are experienced you can get a quick refresher. Highly recommended..

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars
  • Anonymous User
  • 05-23-18

practical

A healthy discussion of the skills and techniques you'll need to perform best-practices machine learning and data science. Very concise code examples and practical