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Sl.No Chapter Name MP4 Download
1Introduction to Probability - A box of chocolates Download
2Introduction to Probability - Axiomatic Approach to Probability TheoryDownload
3Introduction to Probability - Verifying Matrix Multipilication ( Statement,Algorithm & Independence )Download
4Introduction to Probability - Verifying Matrix Multipilication ( Correctness & Law of Total Probability )Download
5Introduction to Probability - How Strong is your Network?Download
6Introduction to Probability - How to Understand the World? Play with it!Download
7Tutorial 1Download
8Tutorial 2Download
9Discrete Random Variables - Basic DefinitionsDownload
10Discrete Random Variables - Linearity of Expectation & Jensens InequalityDownload
11Discrete Random Variables - Conditional Expectation IDownload
12Discrete Random Variables - Conditional Expectation IIDownload
13Discrete Random Variables - Geometric Random Variables & Collecting CouponsDownload
14Discrete Random Variables - Randomized SelectionDownload
15Tail Bounds I - Markov's InequalityDownload
16Tail Bounds I - The Second Moment,Variance & Chebyshev's InequalityDownload
17Tail Bounds I - Median via SamplingDownload
18Tail Bounds I - Median via Sampling - AnalysisDownload
19Tail Bounds I - Moment Generating Functions and Chernoff BoundsDownload
20Tail Bounds I - Parameter EstimationDownload
21Tail Bounds I - Control Group SelectionDownload
22 Applications of Tail Bounds - Routing in Sparse NetworksDownload
23Applications of Tail Bounds - Analysis of Valiant's RountingDownload
24Applications of Tail Bounds - Random GraphsDownload

Sl.No Chapter Name English
1Introduction to Probability - A box of chocolates Download
Verified
2Introduction to Probability - Axiomatic Approach to Probability TheoryDownload
Verified
3Introduction to Probability - Verifying Matrix Multipilication ( Statement,Algorithm & Independence )Download
Verified
4Introduction to Probability - Verifying Matrix Multipilication ( Correctness & Law of Total Probability )Download
Verified
5Introduction to Probability - How Strong is your Network?Download
Verified
6Introduction to Probability - How to Understand the World? Play with it!Download
Verified
7Tutorial 1Download
Verified
8Tutorial 2Download
Verified
9Discrete Random Variables - Basic DefinitionsDownload
Verified
10Discrete Random Variables - Linearity of Expectation & Jensens InequalityDownload
Verified
11Discrete Random Variables - Conditional Expectation IDownload
Verified
12Discrete Random Variables - Conditional Expectation IIDownload
Verified
13Discrete Random Variables - Geometric Random Variables & Collecting CouponsDownload
Verified
14Discrete Random Variables - Randomized SelectionDownload
Verified
15Tail Bounds I - Markov's InequalityDownload
Verified
16Tail Bounds I - The Second Moment,Variance & Chebyshev's InequalityDownload
Verified
17Tail Bounds I - Median via SamplingDownload
Verified
18Tail Bounds I - Median via Sampling - AnalysisDownload
Verified
19Tail Bounds I - Moment Generating Functions and Chernoff BoundsDownload
Verified
20Tail Bounds I - Parameter EstimationDownload
Verified
21Tail Bounds I - Control Group SelectionDownload
Verified
22 Applications of Tail Bounds - Routing in Sparse NetworksDownload
Verified
23Applications of Tail Bounds - Analysis of Valiant's RountingDownload
Verified
24Applications of Tail Bounds - Random GraphsDownload
Verified


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