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LINEAR ALGEBRA for MACHINE LEARNING. A Visual, Step-by-Step Guide with Python to Master Vectors, Matrices, PCA, SVD, and Neural Networks
Mir Hossain (Author) · Independently published · Paperback
Master the math behind modern AI without getting lost in theory.
Whether you want to understand neural networks, build machine learning models from scratch, or finally make sense of matrices and vectors, this book gives you a practical, visual, and beginner-friendly path into the linear algebra that powers artificial intelligence.
Linear Algebra for Machine Learning transforms difficult mathematical ideas into clear, intuitive concepts with real-world ML applications, visual explanations, and hands-on Python examples.
Inside this book, you'll learn how linear algebra drives:
Machine learning algorithmsThis book is designed specifically for:
Machine learning beginnersWhat makes this book different:
Step-by-step explanations with intuition firstInside, you'll discover:
Vector operations and geometric intuitionYou'll also build:
A recommendation systemBy the end of this book, you won't just use machine learning libraries - you'll understand the mathematics behind them.
If you're ready to finally connect linear algebra with real AI systems, this book will give you the foundation you nee
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