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Mathematics for Machine Learning and AI

By Baghel, Randhir Singh

Product Image: Mathematics for Machine Learning and AI

Mathematics for Machine Learning and AI

By Baghel, Randhir Singh

0 - Default Title
Description
Mathematics for Machine Learning and AI provides a foundational and practical understanding of the core mathematical concepts that underpin modern artificial intelligence systems. It covers essential topics such as linear algebra, calculus, probability theory, statistics, optimization, and discrete mathematics, all tailored to their applications in machine learning and AI. This book bridges the gap between mathematical theory and practical implementation, making complex topics accessible through clear explanations, real-world examples, and hands-on problem-solving. Readers will learn how eigenvalues, gradients, probability distributions, and optimization algorithms drive intelligent systems-from neural networks and decision trees to deep learning and reinforcement learning. Designed for students, educators, and professionals, the book balances theoretical rigor with intuitive insights, offering both the mathematical depth and applied knowledge needed to excel in the evolving fields of data science, AI, and machine learning.
Product details
Binding:
Paperback
Number of Pages:
104
Release Date:
2025-06-13
Publication Date:
2025-06-13
Publisher:
LAP LAMBERT Academic Publishing
Languages:
Original: English
ISBN10:
6208446473
ISBN13:
9786208446475
GPSR Manufacturer Reference:
[email protected]
Weight:
173 g
Height:
150 cm
Width:
220 cm
Thickness:
7 cm
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