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The Applied Artificial Intelligence Workshop

You're reading from   The Applied Artificial Intelligence Workshop Start working with AI today, to build games, design decision trees, and train your own machine learning models

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800205819
Length 420 pages
Edition 1st Edition
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Authors (3):
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Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Zsolt Nagy Zsolt Nagy
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Zsolt Nagy
William So William So
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William So
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Toc

Table of Contents (8) Chapters Close

Preface
1. Introduction to Artificial Intelligence 2. An Introduction to Regression FREE CHAPTER 3. An Introduction to Classification 4. An Introduction to Decision Trees 5. Artificial Intelligence: Clustering 6. Neural Networks and Deep Learning Appendix

5. Artificial Intelligence: Clustering

Overview

This chapter will introduce you to the fundamentals of clustering, an unsupervised learning approach in contrast with the supervised learning approaches seen in the previous chapters. You will be implementing different types of clustering, including flat clustering with the k-means algorithm and hierarchical clustering with the mean shift algorithm and the agglomerative hierarchical model. You will also learn how to evaluate the performance of your clustering model using intrinsic and extrinsic approaches. By the end of this chapter, you will be able to analyze data using clustering and apply this skill to solve challenges across a variety of fields.

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