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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

Linux installation

Linux is, in our view, the most flexible platform on which you can work for machine learning projects. As you probably know, there is a really large number of alternatives in the Linux realm, and they all have their own particular package management.

Given that writing instructions for working on all these distributions would take a large number of pages, we will settle on instructions for the Ubuntu 16.04 distribution.

Ubuntu is undoubtedly the most widespread Linux distribution, and in the particular case of Ubuntu 16.04 it is an LTS version, or long term support. This means that the base software we will run in this book will have support until the year 2021.

You will find more information about the meaning of LTS at https://wiki.ubuntu.com/LTS.

Regarding the feasibility of Ubuntu as a scientific computing distribution, even if it is considered by many to...

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