Math for Machine Learning: Open Doors to Data Science and Artificial Intelligence
by Richard Han
A concise guide to the essential mathematics behind machine learning, data science, and artificial intelligence for aspiring practitioners.
About This Book
This book introduces the core mathematical concepts required for machine learning and data science.
Readers explore linear algebra, calculus, probability, and statistics through clear explanations and examples.
The material is designed to open doors to artificial intelligence by building a strong mathematical foundation.
Each topic is presented to support learners who want to understand the principles behind modern algorithms.
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