Mathematical essentials for machine learning

Mathematical essentials for machine learning

• Calculus: how to optimize
• Liner Algebra: makes executing algorithms feasible on massive datasets
• Probability: predict the likely hood of a certain outcome
• Statistics: what our goal is

Table of Contents

• Essence of Linear Algebra
• Essence of Calculus
• Probability

More

• Optimization
• A Gentle Introduction To Graph Theory
• A Data Scientist’s Guide to Data Structures & Algorithms, Part 1
• Comprehensive & Practical Inferential Statistics Guide for data science
• Probability and statistics