Masterclass in Probabilistic Algorithms - Leveraging Randomness for Efficient Computation
Created by Team Mammoth
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Skill level
All levels
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Sections
7
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Lectures
24
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Instructor
Team Mammoth
What's inside
This course includes.
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7
Sections
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24
Lectures
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22
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ Overview of Probabilistic Algorithms 1 lecture
Overview of Probabilistic Algorithms
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+ Fundamentals of Probability 4 lectures
01 Basic Probability Theory
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02 Random Variables - Discrete and Continuous Distributions
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03 Joint, Marginal, and Conditional Distributions
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04 Common Probability Distributions
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+ Randomized Algorithms 5 lectures
01 Randomized Algorithms
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02 Las Vegas vs. Monte Carlo Algorithms
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03 Probabilistic Analysis of Algorithms
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04 Randomized Data Structures
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Randomized Algorithms
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+ Probabilistic Analysis Techniques 4 lectures
01 Markov's Inequality
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02 Chebyshev's Inequality
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03 Chernoff Bounds
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04 Union Bound
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+ Random Walks 3 lectures
Random Walks
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01 Visualize a 1D Random Walk with P5 JS
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02 Build a 2D Random Walk with P5 JS
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+ Monte Carlo Algorithm to Estimate PI in Godot Csharp 5 lectures
Monte Carlo Methods in Video Games
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Monte Carlo Algorithm to Estimate Pi
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Implement Monte Carlo in Godot with Csharp
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Relation to Probabilistic Algorithms
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Detailed Resources - In-Depth Commented Code
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+ More Probabilistic Algorithms 2 lectures
Randomized Data Structures in Video Games
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Probabilistic Reasoning for Video Games
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Instructors
Taught by people who ship.
Team Mammoth
Instructor
Produced by a team of Mammoth Club industry experts. Over 14 years, Mammoth Club has built a global student community in 190+ countries with 9+ million courses sold, releasing over 1,000+ courses and 5,000+ hours of video content.
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