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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

Product type Paperback

Published in Oct 2017

Publisher Packt

ISBN-13 9781786469878

Length 270 pages

Edition 1st Edition

Languages

Python

Tools

Scikit-learn

Concepts

Machine Learning

Authors (2):

Bonnin

Hasan

View More author details

Table of Contents (17) Chapters

Title Page

Credits

Foreword

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Introduction - Machine Learning and Statistical Science FREE CHAPTER

2. The Learning Process

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

Windows installation

Windows is a platform on which Python can run without problems. In this section, we will cover the installation of Anaconda on the Windows platform.

Anaconda Windows installation

The process to install Anaconda is pretty similar to the macOS one, because of the graphic installer. Let's start by downloading the installer package from https://www.anaconda.com/download/ and choosing the 64-bit package:

After downloading the installer, accept the license agreement, and go to the next step:

Then, you can choose to install the platform for your current user, or for all users:

Then, you choose the installation directory for the whole installation. Remember, this will take close to 2 GB of disk to install:

After the environment is installed, you will find the Jupyter Notebook shortcut in the main Windows menu:

In order to use the Python commands and the conda utility, there is a convenient Anaconda prompt, which will load the required paths and environment variables:

The last step consists...

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Authors (2)

Bonnin

Bonnin

Rodolfo Bonnin is a systems engineer and Ph.D. student at Universidad Tecnolgica Nacional, Argentina. He has also pursued parallel programming and image understanding postgraduate courses at Universitt Stuttgart, Germany. He has been doing research on high-performance computing since 2005 and began studying and implementing convolutional neural networks in 2008, writing a CPU- and GPU-supporting neural network feedforward stage. More recently he's been working in the field of fraud pattern detection with Neural Networks and is currently working on signal classification using machine learning techniques. He is also the author of Building Machine Learning Projects with Tensorflow and Machine Learning for Developers by Packt Publishing.

See other products by Bonnin

Hasan

Hasan

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