• Tensorflow Machine Learning

  • Simple and Effective Tips and Tricks to Learn Machine Learning with Scikit-Learn, Keras and Tensorflow
  • By: Benjamin Smith
  • Narrated by: Zachary Dylan Brown
  • Length: 3 hrs and 4 mins
  • 4.9 out of 5 stars (21 ratings)

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Publisher's Summary

Machine learning is an emerging field in the discipline of computer science. The possibilities are virtually endless and the things we can achieve with machine learning bridge the gap between reality and science fiction. If you are one of those people who developed an interest and learned the basics of machine learning and want to improve your foundation, then this is the right book for you. 

Here’s a list of some of the distinct features of this book that set it apart from others: 

  • This book includes a comprehensive and detailed explanation of the concepts. No chapter has idle talk. Every line in this book has been written while keeping the convenience and interest of the listener in mind. 
  • This book features some really cool tips and tricks that build upon some very basic and fundamental practices of machine learning. Using these tips and tricks will help increase the productivity of your models. 
  • Each topic addresses some of the most important issues that users experience when working with machine learning. For instance, in the later parts of this book, after discussing deep learning, we shift our focus towards the main challenges that arise when creating and implementing a complex and large deep neural network. 
  • This book aims to give listeners a productive listening session. In order to accomplish this, each chapter has fragmented sections that highlight interesting topics. Furthermore, the chapter layout guides the listener through the many concepts of machine learning very easily. 

If you’re interested in tips and tricks to machine learning with the use of scikit-learn, keras and Tensorflow, then click the "Buy Now" button to get started today! 

©2020 Benjamin Smith (P)2020 Benjamin Smith

What listeners say about Tensorflow Machine Learning

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  • Overall
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Excellent

Machine learning is a type of artificial intelligence that is going to provide systems with the ability to learn from experience, without being programmed for everything that you need the process to do. Prescribed!

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Practical guide

This guidebook is going to take a look at all of the different things that you can work with python machine learning, so you can start working with your projects in no time.

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Awesome guide

This guidebook is going to take some time to explore machine learning and what it is all about.

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Interesting guide

You are learning a new coding language used to be tricky. It could take years to master a code enough to write out some basic programs.

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Easy to understand

The book is good at what it sets out to do, explaining the machine improving process and giving clear suggestions and information. Explaining the best ways to work with you architect was especially interesting.

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PRACTICAL BOOK

This book gives you a hands-on approach to learning by doing Python for Machine Learning. As opposed to many Machine learning books that dive deep into the theory without any practical

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BEST BOOK

I would highly recommended to read this book everyone.This book gave me a lot of information.This book is awesome to read and i think this book is the best book of this topic, and i really appreciate this book.

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Information book

The book isn't really a deepdive into a ML. It covers the very basics, but spends most of its time focused on actually running real world applications in the browser and node.

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excellent book

This book is an excellent overview of all major machine learning techniques in AWS with practical examples. It contains a background on the math behind the machine learning as well as step-by-step guidance using helpful real-world examples

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must listen to it

This book is a great reference for some aspects of machine learning theory. It goes into heavy mathematical details on some subjects. However, despite some code examples, it lacks a lot of practical application examples with Python code and is a little disorganized and rambling at points