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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, we worked through many different conceptual elements, including an overview of some basic mathematical concepts, which serve as a base for the machine learning concepts.

These concepts will be useful when we formally explain the mechanisms of the different modeling methods, and we encourage you to improve your understanding of them as much as possible, before and while reading the chapters, to better grasp how the algorithm works.

In the next chapter, we will have a quick overview of the the the complete workflow of a machine learning project, which will help us to understand the various elements involved, from data gathering to result evaluation.

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