Price: $79.99 - $67.99
(as of Nov 24,2024 00:44:25 UTC – Details)

Publisher ‏ : ‎ Chapman and Hall/CRC; 1st edition (October 3, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 414 pages
ISBN-10 ‏ : ‎ 1032288280
ISBN-13 ‏ : ‎ 978-1032288284
Item Weight ‏ : ‎ 1.58 pounds
Dimensions ‏ : ‎ 7.01 x 0.94 x 10 inches

The intersection of mathematics and engineering in the field of deep learning is a fascinating and rapidly evolving area of study. In the newly released book “Mathematical Engineering of Deep Learning,” readers are taken on a deep dive into the mathematical foundations and engineering principles that underpin the development and application of deep learning algorithms.

Authored by experts in the field, this book is part of the prestigious Chapman & Hall/CRC Data Science Series, known for its cutting-edge research and practical insights into the world of data science. Through a combination of theoretical discussions and real-world examples, readers will gain a comprehensive understanding of how mathematical concepts such as linear algebra, calculus, and probability theory are used to optimize and improve deep learning models.

Whether you are a seasoned data scientist looking to expand your knowledge or a newcomer interested in the mathematical intricacies of deep learning, “Mathematical Engineering of Deep Learning” is a must-read. Pick up your copy today and unlock the power of mathematics in the world of artificial intelligence.
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