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(Updated) Masterclass in Probabilistic Algorithms - Leveraging Randomness for Efficient Computation
Overview of Probabilistic Algorithms
00 Overview of Probabilistic Algorithms
01 Comparison with Deterministic Algorithms
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Fundamentals of Probability
01 Basic Probability Theory
02 Random Variables - Discrete and Continuous Distributions
03 Joint, Marginal, and Conditional Distributions
04 Common Probability Distributions
Randomized Algorithms
01 Randomized Algorithms
02 Las Vegas vs. Monte Carlo Algorithms
03 Probabilistic Analysis of Algorithms
04 Randomized Data Structures
Probabilistic Analysis Techniques
01 Markov's Inequality
02 Chebyshev's Inequality
03 Chernoff Bounds
04 Union Bound
Random Walks
00 Random Walks
01 Visualize a 1D Random Walk with P5 JS (6:09)
Relation to Probabilistic Algorithms
02 Build a 2D Random Walk with P5 JS (2:22)
(New!) Detailed Resources - In-Depth Commented Code
Monte Carlo Algorithm to Estimate PI in Godot Csharp
00 Monte Carlo Methods in Video Games
01 Monte Carlo Algorithm to Estimate PI
02 Implement Monte Carlo in Godot with Csharp (14:45)
Relation to Probabilistic Algorithms
(New!) Detailed Resources - In-Depth Commented Code
More Probabilistic Algorithms
00 Randomized Data Structures in Video Games
01 Probabilistic Reasoning for Video Games
03 Joint, Marginal, and Conditional Distributions
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