Hi arjun

Most important topics in machine learning and artificial intelligence are:

• Linear algebra
• Calculus
• Probability
• Optimization

These are broken down further into subtopics:

• Linear transformation
• Vector spaces
• Matrixes
• Eigen values and eigen vectors
• Inner product spaces
• Subspaces
• Solution of linear systems
• Limits and infinitesimal
• Integral calculus
• Leibniz theorem
• Probability distribution
• Random walk
• Sample space
• Mutual exclusivity
• Joint probability
• Conditional probability
• Inverse probability

And many include in these subtopics.

Here is a link which provide information regarding these topics in detail:

https://towardsdatascience.com/mathematics-for-ai-all-the-essential-math-topics-you-need-ed1d9c910baf

Hope this helps.

Good luck!