25. Markov Chain Monte Carlo MCMC

Описание: Dive into a complete and intuitive introduction to Markov Chain Monte Carlo (MCMC), where we break down complex concepts into clear steps and practical understanding.

This lesson walks you through the core ideas behind sampling from difficult distributions, explains how algorithms like Metropolis-Hastings and Gibbs sampling work, and demonstrates their application through hands-on Python examples.

Whether you're studying machine learning, statistics, or Bayesian inference, this video gives you both the theory and the practical tools needed to confidently apply MCMC in real-world problems.

#EJDansu #Mathematics #Maths #MathswithEJD #Goodbye2024 #Welcome2025 #ViralVideos #Trending #MCMC #MarkovChain #MonteCarlo #DataScience #MachineLearning #BayesianStatistics #Python #Statistics #AI #DeepLearning #ProbabilisticModels #MetropolisHastings #GibbsSampling #SamplingMethods #DataAnalysis #ArtificialIntelligence #Math #Algorithms #StatisticalModeling #Learning

-Feel very free to follow me on all channels: https://linktr.ee/ejdansu

-Tech-relevant playlists:
Basic Calculus
   • Basic Calculus  

Data Analysis with Python
   • Data Analysis with Python  

Game Theory
   • Game Theory  

Graph & Network Theory
   • Graph & Network Theory  

Linear Programming
   • Linear Programming  

Matrices
   • Matrices  

Numerical Analysis
   • Numerical Analysis  

Numerical Optimisation Techniques
   • Numerical Optimisation Techniques  

Probability
   • Probability  

Scientific Computing with Python
   • Scientific Computing with Python  

Set Theory
   • Set Theory  

SQL with Python
   • SQL with Python  

Statistics
   • Statistics  

Vectors
   • Vectors