Key Features
- Master linear algebra, calculus, and probability theory for ML
- Bridge the gap between theory and real-world applications
- Learn Python implementations of core mathematical concepts
Who this book is for
This book is for aspiring machine learning engineers, data scientists, software developers, and researchers who want to gain a deeper understanding of the mathematics that drives machine learning. A foundational understanding of algebra and Python, and basic familiarity with machine learning tools are recommended.