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.

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