Data & IT
Pocket
Algorithmic Mathematics in Machine Learning
Bastian Bohn • Jochen Garcke • Michael Griebel
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The goal of Algorithmic Mathematics in Machine Learning is to explore several well-known machine learning and data analysis algorithms from a mathematical and programming perspective. In this unique book, the authors: Present machine learning methods, review the underlying mathematics, and provide programming exercises intended to deepen the reader's understanding. Accompany application areas with exercises that explore the unique characteristics of real-world data sets (e.g. pedestrian detection image data, biological cell data). Highlight new terminology and background information on mathematical concepts, as well as exercises, in "info-boxes" throughout the text.
- Format: Pocket/Paperback
- ISBN: 9781611977875
- Språk: Engelska
- Antal sidor: 225
- Utgivningsdatum: 2024-06-30
- Förlag: Society for Industrial & Applied Mathematics,U.S.