Introduction to Machine Learning Deep Learning Introduction Probability for Machine Learning Statistics for Machine Learning Natural Language Processing (NLP)Data Science Introduction AI for Everyone Retrieval Augmented Generation (RAG)AI for Artists Comprehensive Guide to Model Context Protocol Comprehensive Guide to Economy & Financial Systems Comprehensive Guide to Babylon.js Game Engine

Introduction to Machine Learning

/Probabilistic Models

/Bayesian Models

/Markov Chains

Markov Chains

Markov Chains

Markov chains model sequences where only the current state determines the next state. Over time, they often settle into a stationary distribution that reflects long-term probabilities.

Everyday example: Weather patterns where if today is sunny, there is an 80% chance tomorrow will also be sunny. Applications include stock market predictions and website navigation analysis.