The Shape of Data : Geometry-Based Machine Learning and Data Analysis in R
Book Details
Format
Paperback / Softback
ISBN-10
1718503083
ISBN-13
9781718503083
Publisher
No Starch Press,US
Imprint
No Starch Press,US
Country of Manufacture
US
Country of Publication
GB
Publication Date
Sep 12th, 2023
Print length
264 Pages
Weight
510 grams
Dimensions
17.90 x 23.40 x 1.80 cms
Product Classification:
Machine learning
Ksh 6,850.00
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The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. Focused on practical applications rather than dense mathematical concepts, the book progresses through coding examples using social network data, text data, medical data, and education data. Readers will come away with an entirely new toolkit to use in their own machine-learning work, as well as with a solid understanding of some of the most exciting algorithms being used in the field today.
The Shape of Data shows how to use geometry- and topology-based algorithms for machine learning. Focused on practical applications rather than dense mathematical concepts, the book progresses through coding examples using social network data, text data, medical data, and education data. Readers will come away with an entirely new toolkit to use in their own machine-learning work, as well as with a solid understanding of some of the most exciting algorithms being used in the field today.
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