Algorithmic Mathematics in Machine Learning
English
By (author): Bastian Bohn Jochen Garcke Michael Griebel
- 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.