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Machine Learning for the Web

You're reading from Machine Learning for the Web Gaining insight and intelligence from the internet with Python

Product type Paperback

Published in Jul 2016

Publisher Packt

ISBN-13 9781785886607

Length 298 pages

Edition 1st Edition

Languages

Python

Concepts

Machine Learning

Authors (2):

Andrea Isoni

Steve Essinger

View More author details

Table of Contents (10) Chapters

Preface

1. Introduction to Practical Machine Learning Using Python FREE CHAPTER

2. Unsupervised Machine Learning

3. Supervised Machine Learning

4. Web Mining Techniques

5. Recommendation Systems

6. Getting Started with Django

7. Movie Recommendation System Web Application

8. Sentiment Analyser Application for Movie Reviews

Index

Summary

We have just shown how to build an application to recommend movies using the Django framework. You now should have some degree of confidence in how to develop a professional web application using Python and the machine-learning algorithms that power it.

In the next chapter, an additional example on a movie's web sentiment reception will give you even more understanding to efficiently write your own machine-learning web application in Python.

The rest of the chapter is locked

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Authors (2)

Isoni

Isoni

Andrea Isoni is a data scientist, PhD, and physicist professional with extensive experience in software developer positions. He has an extensive knowledge of machine learning algorithms and techniques. He also has experience with multiple languages such as Python, C/C++, Java, JavaScript, C#, SQL, HTML, and Hadoop.

See other products by Isoni

Steve Essinger

Steve Essinger

Python, machine learning

See other products by Steve Essinger

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