How much maths is required for Machine Learning?

Question

Can anyone tell me how much maths is required for Machine Learning?

Answer 1

The mathematical concepts required for Machine Learning is:

• Linear Algebra concepts like vectors, matrices, eigenvalues and vectors, principal component analysis (PCA), and singular value decomposition (SVD)
• Calculus concepts such as scalar derivative, gradient concept, and vector calculus
• Probability topics such as Bayes theorem and probability distributions
• Also mathematical concepts like Information theory and Markov chain

You can enroll in this Machine Learning Course by Intellipaat to learn Machine Learning.

Also, watch this video on Mathematics for Machine Learning: