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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

In this chapter, our scope has expanded even more, adding the important dimension of time to the set of elements to be included in our generalization. Also, we learned how to solve a practical problem with RNNs, based on real data.

But if you think you have covered all the possible options, there are many more model types to see!

In the next chapter, we will talk about cutting edge architectures that can be trained to produce very clever elements, for example, transfer the style of famous painters to a picture, and even play video games! Keep reading for reinforcement learning and generative adversarial networks.

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