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LIVE_An Introduction to Probability in Computing - Session 1

Tail Bounds I - Control Group Selection

Tail Bounds I - Parameter Estimation

Applications of Tail Bounds - Routing in Sparse Networks

Applications of Tail Bounds - Analysis of Valiant's Rounting

Applications of Tail Bounds - Random Graphs

Tail Bounds I - Median via Sampling - Analysis

Tail Bounds I - Median via Sampling

Tail Bounds I - The Second Moment,Variance & Chebyshev's Inequality

Tail Bounds I - Moment Generating Functions and Chernoff Bounds

Tail Bounds I - Markov's Inequality

Discrete Random Variables - Randomized Selection

Discrete Random Variables - Geometric Random Variables & Collecting Coupons

Week 2 Segment 1: Discrete Random Variables - Basic Definitions

Discrete Random Variables - Conditional Expectation II

Discrete Random Variables - Conditional Expectation I

Discrete Random Variables - Linearity of Expectation & Jensens Inequality

Introduction to Probability - Axiomatic Approach to Probability Theory

Introduction to Probability - How to Understand the World? Play with it!

Introduction to Probability - How Strong is your Network?

Introduction to Probability - Verifying Matrix Multipilication

Tutorial 2

Tutorial 1

Introduction to Probability - A box of chocolates