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Total Size:
20.6 MB
Info Hash:
C617D466186B780A3E6CDB787F5AD77C5CC666A5
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Added:
May 25, 2025, 9:38 a.m.
Stats:
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(Last updated: May 25, 2025, 9:38 a.m.)
| File | Size |
|---|---|
| Bohn B. Algorithmic Mathematics in Machine Learning 2024.pdf | 20.6 MB |
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20.6 MB
[81
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2025-05-25
| Uploaded by andryold1 | Size 20.6 MB | Health [ 81 /15 ] | Added 2025-05-25 |
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803.8 MB
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2025-02-18
| Uploaded by indexFroggy | Size 803.8 MB | Health [ 4 /10 ] | Added 2025-02-18 |
NOTE
SOURCE: Bohn B. Algorithmic Mathematics in Machine Learning 2024
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COVER
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MEDIAINFO
Textbook in PDF format This unique book explores several well-known machine learning and data analysis algorithms from a mathematical and programming perspective. The authors present machine learning methods, review the underlying mathematics, and provide programming exercises to deepen the reader’s understanding; accompany application areas with exercises that explore the unique characteristics of real-world data sets (e.g., image data for pedestrian detection, biological cell data); and provide new terminology and background information on mathematical concepts, as well as exercises, in “info-boxes” throughout the text. Algorithmic Mathematics in Machine Learning is intended for mathematicians, computer scientists, and practitioners who have a basic mathematical background in analysis and linear algebra but little or no knowledge of machine learning and related algorithms. Researchers in the natural sciences and engineers interested in acquiring the mathematics needed to apply the most popular machine learning algorithms will also find this book useful. This book is appropriate for a practical lab or basic lecture course on machine learning within a mathematics curriculum
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