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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

The Learning Process

In the first chapter, we saw a general overview of the mathematical concepts, history, and areas of the field of machine learning.

As this book intends to provide a practical but formally correct way of learning, now it's time to explore the general thought process for any machine learning process. These concepts will be pervasive throughout the chapters and will help us to define a common framework of the best practices of the field.

The topics we will cover in this chapter are as follows:

  • Understanding the problem and definitions
  • Dataset retrieval, preprocessing, and feature engineering
  • Model definition, training, and evaluation
  • Understanding results and metrics

Every machine learning problem tends to have its own particularities. Nevertheless, as the discipline advances through time, there are emerging patterns of what kind of steps a machine learning...

You have been reading a chapter from
Machine Learning for Developers
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781786469878
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