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0:55:52
LIVE_An Introduction to Probability in Computing - Session 1
0:20:33
Tail Bounds I - Control Group Selection
0:18:51
Tail Bounds I - Parameter Estimation
0:23:07
Applications of Tail Bounds - Routing in Sparse Networks
0:30:42
Applications of Tail Bounds - Analysis of Valiant's Rounting
0:32:11
Applications of Tail Bounds - Random Graphs
0:39:24
Tail Bounds I - Median via Sampling - Analysis
0:22:00
Tail Bounds I - Median via Sampling
0:28:20
Tail Bounds I - The Second Moment,Variance & Chebyshev's Inequality
0:39:41
Tail Bounds I - Moment Generating Functions and Chernoff Bounds
0:42:26
Tail Bounds I - Markov's Inequality
0:17:10
Discrete Random Variables - Randomized Selection
0:20:30
Discrete Random Variables - Geometric Random Variables & Collecting Coupons
0:19:16
Week 2 Segment 1: Discrete Random Variables - Basic Definitions
0:23:41
Discrete Random Variables - Conditional Expectation II
0:14:04
Discrete Random Variables - Conditional Expectation I
0:20:47
Discrete Random Variables - Linearity of Expectation & Jensens Inequality
0:18:54
Introduction to Probability - Axiomatic Approach to Probability Theory
0:19:12
Introduction to Probability - How to Understand the World? Play with it!
0:36:03
Introduction to Probability - How Strong is your Network?
0:20:25
Introduction to Probability - Verifying Matrix Multipilication
0:04:09
Tutorial 2
0:04:10
Tutorial 1
0:11:27
Introduction to Probability - A box of chocolates
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