GitHub / JeffWang0325 / Microsoft-DAT256X-Essential-Math-for-Machine-Learning-Python-Edition

Machine learning and AI are built on mathematical principles like Calculus, Linear Algebra, Probability, Statistics, and Optimization. This course aims to help you learn some essential foundational concepts and the notation used to express them.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JeffWang0325%2FMicrosoft-DAT256X-Essential-Math-for-Machine-Learning-Python-Edition

Topics: calculus, dat256x, data-science, data-visualization, gradient-descent, hypothesis-testing, linear-algebra, linear-regression, machine-learning, machine-learning-algorithms, matplotlib, microsoft, numpy, optimization, pandas-python, probability, probability-distribution, python, statistical-analysis, statistics

Files