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Data Science Algorithms in a Week

You're reading from   Data Science Algorithms in a Week Top 7 algorithms for scientific computing, data analysis, and machine learning

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Product type Paperback
Published in Oct 2018
Publisher Packt
ISBN-13 9781789806076
Length 214 pages
Edition 2nd Edition
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Authors (2):
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David Toth David Toth
Author Profile Icon David Toth
David Toth
David Natingga David Natingga
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David Natingga
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Table of Contents (12) Chapters Close

Preface 1. Classification Using K-Nearest Neighbors 2. Naive Bayes FREE CHAPTER 3. Decision Trees 4. Random Forests 5. Clustering into K Clusters 6. Regression 7. Time Series Analysis 8. Python Reference 9. Statistics 10. Glossary of Algorithms and Methods in Data Science
11. Other Books You May Enjoy

Preface

Data science is a discipline at the intersection of machine learning, statistics, and data mining with the objective of gaining new knowledge from existing data by means of algorithmic and statistical analysis. In this book, you will learn the seven most important ways in data science of analyzing the data. Each chapter first explains its algorithm or analysis as a simple concept, supported by a trivial example. Further examples and exercises are used to build and expand your knowledge of a particular type of analysis.

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