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Machine Learning for Developers

You're reading from   Machine Learning for Developers Uplift your regular applications with the power of statistics, analytics, and machine learning

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781786469878
Length 270 pages
Edition 1st Edition
Languages
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Authors (2):
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Md Mahmudul Hasan Md Mahmudul Hasan
Author Profile Icon Md Mahmudul Hasan
Md Mahmudul Hasan
Rodolfo Bonnin Rodolfo Bonnin
Author Profile Icon Rodolfo Bonnin
Rodolfo Bonnin
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction - Machine Learning and Statistical Science 2. The Learning Process FREE CHAPTER 3. Clustering 4. Linear and Logistic Regression 5. Neural Networks 6. Convolutional Neural Networks 7. Recurrent Neural Networks 8. Recent Models and Developments 9. Software Installation and Configuration

Summary

Congratulations! You have reached the end of this practical summary of the basic principles of machine learning. In this last chapter, we have covered a lot of ways to help you to build your machine learning computing environment.

We want to take the opportunity to sincerely thank you for your attentive reading, and we hope you have found the material presented interesting and engaging. Hopefully you are now ready to begin tackling new challenging problems, with the help of the tools we have presented, as well as new tools being developed all the time, and with the knowledge we have striven to provide.

For us, it has been a blast to write this book and search for the best ways to help you understand the concepts in a practical manner. Don't hesitate to write with questions, suggestions, or bug reports to the channels made available by the publisher.

Best regards,...

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