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What is Math Fundamentals for Machine Learning about?

This document provides an overview of basic mathematics concepts for machine learning. It discusses getting started with math basics, working with data by representing problems numerically, exploring probabilities, using statistics, and interpreting machine learning as optimization of cost functions. Key concepts covered include representing data as matrices, basic matrix operations, the probability of events, Bayes

Author

dibloa

Language

EN