Mathematics for Machine Learning

Introduction

Linear algebra, calculus and probability for machine learning. Amathify's subject experts and PhD scholars solve its exercises, numerical problems and end-of-chapter questions step by step, and we also help with assignments based on this computer science book.

At Amathify, our subject experts and PhD scholars write every solution for Mathematics for Machine Learning in full: the question, the method, each line of working and the final answer, with short notes explaining which rule or theorem is used. It is ideal for homework, assignment checking and exam revision.

What this book covers

1. Mathematical foundations
2. Algorithms and analysis
3. Models and proofs
4. Applications in computing
5. Problem sets and exercises

What you get

• Exercise-wise solutions in textbook order
• Every step shown with the rule or formula used
• Proofs and derivations written in full
• Help with assignments and past papers from this book
• Assignment writing on topics from this book
• Solved by subject experts and PhD scholars