Mathematics is an essential part for machine learning without maths it is hard to get into core
concepts. In addition, machine learning uses concepts from different branches, however, these branch of mathematics are the backbone of the machine learning.
1- Linear Algebra
Matrix, Vector Spaces, Linear Transformations, Eigen Values and Eigen Vectors ( Principle Component Analysis)
2- Multivariate Calculas
Partial Differential Equations ( Support Vector Machines)
3- Probability and Statistics
Mean (K-Means Clusterning), Variance and Covariance ( Feature Reduction), Probability Distributions( Classifiers), Bay’s Theorem ( Naiv Bayes Classifier)