What math is needed for Machine Learning?

Question

Can anyone tell me what math is needed for Machine Learning?

Answer 1

The following math concepts are used in Machine Learning and every Machine Learning Professional must learn:

• Linear Algebra
• Topics to be covered:
• Principal Component Analysis (PCA)
• Singular Value Decomposition (SVD)
• Eigen decomposition of a matrix
• LU Decomposition
• QR Decomposition/Factorization,
• Probability Theory and Statistics

Topics to be covered:

• Bayes’ Theorem,
• Random Variables
• Variance and Expectation
• Probability Distributions
• Maximum Likelihood Estimation (MLE)
• Sampling Methods.

You can sign up for this Machine Learning Course by Intellipaat to learn Machine Learning.