🔄 What are Markov chains? Discover them with interactive visualizations.
If you’ve ever wondered how to predict the future based on the present, regardless of how you got there… you’re thinking like a Markov process. And there’s no better way to learn it than with this interactive tutorial:
More information at the link 👇
📌 What you’ll learn
- What a Markov chain is and how it works.
- How to model systems where the next decision depends only on the current state.
- Step-by-step visualizations that make the concept accessible to everyone (no math headache!).
- Real-world applications: weather prediction, user behavior, text generation…
🎯 Why it’s useful Markov chains are the foundation of many tools in data science, AI, natural language processing, and game theory.
This type of model lets you, for example:
- Simulate future scenarios.
- Design algorithms that generate music, text, or predict sequences.
- Model probabilistic systems in a simple yet powerful way.
💡 I recommend this resource for both people starting in data science and those who want to reinforce their fundamentals with a visual, didactic approach.
More information at the link 👇
Also published on LinkedIn.
