Mathematics for Machine Learning by Marc Peter Deisenroth

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Paper quality: 70 gsm off white (Excellent)
Cover quality: 260 gsm card.

Size: B5 (7.5x10

Digitally printed, with excellent print and paper quality.
Sample Pictures Available in Product

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Product Description:




Mathematics for Machine Learning by Marc Peter Deisenroth provides a thorough foundation in the mathematical principles essential for understanding and developing machine learning algorithms. This expert resource covers key topics such as linear algebra, calculus, probability, and optimization, connecting theoretical concepts with practical applications. Designed for both students and professionals, the book equips readers to grasp the complexities of machine learning models and improves their ability to implement and analyze algorithms effectively. This edition emphasizes clarity and rigor, making it an indispensable tool for advancing expertise in the field.