Complex AI and statistics made easy
We aim to break down the most complex concepts into intutive examples to help you go further and come up with new ideas!
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Index
Optimal control and dynamic programming:
- Understanding the Value Function in Reinforcement Learning: A Corridor Example
- Finding a Reinforcement Learning Policy with a Markov Decision Process: Generalized Policy Iteration (GPI)
Statistics and Probability:
- Bayes’ Theorem and its Applications to Classification and Sequence Models
- Intuition Behind the Birthday Paradox
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