Description
| Product ID: | 9781718503083 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | The Shape of Data |
| Subtitle: | Geometry-Based Machine Learning and Data Analysis in R |
| Authors: | Author: Colleen M. Farrelly, Yae Ulrich Gaba |
| Page Count: | 264 |
| Subjects: | Machine learning, Machine learning |
| Description: | Select Guide Rating 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. |
| Imprint Name: | No Starch Press,US |
| Publisher Name: | No Starch Press,US |
| Country of Publication: | GB |
| Publishing Date: | 2023-09-12 |
