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Mathematics of Data Science: A Computational Approach to Clustering and Classification - Data Science Daniela Calvetti
Mathematics of Data Science: A Computational Approach to Clustering and Classification - Data Science
Daniela Calvetti
Provides a solid mathematical basis for understanding popular data science algorithms for clustering and classification and shows that an in-depth understanding of the mathematics powering these algorithms gives insight into the underlying data. It presents a step-by-step derivation of these algorithms.
189 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | February 28, 2021 |
| ISBN13 | 9781611976366 |
| Publishers | Society for Industrial & Applied Mathema |
| Pages | 189 |
| Dimensions | 257 × 180 × 17 mm · 422 g |
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