Machine Learning, Artificial Intelligence, Data Science, Probability Distributions, Statistics.
Learning and AI: Supervised Learning: Probability and statistics underpin algorithms like linear regression, decision trees, and neural networks. Natural Language Processing (NLP): Hidden Markov Models (HMMs) and probabilistic graphical models are used in language modeling and sentiment analysis.