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Mastering Python Data Visualization

You're reading from   Mastering Python Data Visualization Generate effective results in a variety of visually appealing charts using the plotting packages in Python

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781783988327
Length 372 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. A Conceptual Framework for Data Visualization 2. Data Analysis and Visualization FREE CHAPTER 3. Getting Started with the Python IDE 4. Numerical Computing and Interactive Plotting 5. Financial and Statistical Models 6. Statistical and Machine Learning 7. Bioinformatics, Genetics, and Network Models 8. Advanced Visualization A. Go Forth and Explore Visualization Index

Chapter 6. Statistical and Machine Learning

Machine learning enables you to create and use computer algorithms, learn from these algorithms, correct them, and improve them to draw any new patterns that were unknown in the past. You can also extract insights from these new patterns that were found from the data. For instance, one may be interested in teaching a computer how to recognize ZIP codes value in an image. Another example is if we have a specific task, such as to determine spam messages, then instead of writing a program to solve this directly, in this paradigm, you can seek methods to learn and become better at getting accurate results using a computer.

Machine learning has become a significant part of artificial intelligence in recent years. With the power of computing, it is very likely that we will be able to build intelligent systems using machine learning methods. With the power of computing that we have today, these tasks have become far simpler than they were two...

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