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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
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David Toth
David Natingga David Natingga
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David Natingga
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Toc

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

Playing chess – independent events

Suppose we are given the following table of data. This tells us whether or not our friend will play a game of chess with us outside in the park, based on a number of weather-related conditions:

Temperature

Wind

Sunshine

Play

Cold

Strong

Cloudy

No

Warm

Strong

Cloudy

No

Warm

None

Sunny

Yes

Hot

None

Sunny

No

Hot

Breeze

Cloudy

Yes

Warm

Breeze

Sunny

Yes

Cold

Breeze

Cloudy

No

Cold

None

Sunny

Yes

Hot

Strong

Cloudy

Yes

Warm

None

Cloudy

Yes

Warm

Strong

Sunny

?

 

We would like to establish, by using Bayes' theorem, whether our friend would like to play a game of chess with us in the park given that the Temperature is Warm, the Wind is Strong, and it is Sunny.

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You have been reading a chapter from
Data Science Algorithms in a Week - Second Edition
Published in: Oct 2018
Publisher: Packt
ISBN-13: 9781789806076
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