Publisher description
Using case studies and illustrations, this advanced machine learning book walks readers through the ways geometry and topology influence machine learning, giving them a new toolkit to use in their AI work, and introducing them to exciting, cutting-edge algorithms. 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
More books by the authors
Similar books
Rate the book
Write a review and share your opinion with others. Try to focus on the content of the book. Read our instructions for further information.
The Shape of Data: Network Science, Geometry-Based Machine Learning, and Topological Data Analysis in R
Book reviews » The Shape of Data: Network Science, Geometry-Based Machine Learning, and Topological Data Analysis in R
|
|
 |
|
|
|
|
