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Lecture 2 : Linearity of Expectation, QuickSort, Las Vegas
Lecture 2 : Linearity of Expectation, QuickSort, Las VegasLecture 2 : Linearity of Expectation, QuickSort, Las Vegas
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Lecture 2 : Linearity of Expectation, QuickSort, Las Vegas73075
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Lecture 5 : Median of Means Trick, General Chernoff
Lecture 5 : Median of Means Trick, General ChernoffLecture 5 : Median of Means Trick, General Chernoff
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Lecture 5 : Median of Means Trick, General Chernoff73758
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Lecture 6 : Randomized Median Algorithm
Lecture 6 : Randomized Median AlgorithmLecture 6 : Randomized Median Algorithm
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Lecture 7 : Estimating #DNF solutions via Importance Sampling
Lecture 7 : Estimating #DNF solutions via Importance SamplingLecture 7 : Estimating #DNF solutions via Importance Sampling
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Lecture 7 : Estimating #DNF solutions via Importance Sampling73904
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Lecture 8 : Finding Similar Pairs via Importance Sampling
Lecture 8 : Finding Similar Pairs via Importance SamplingLecture 8 : Finding Similar Pairs via Importance Sampling
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Lecture 8 : Finding Similar Pairs via Importance Sampling73905
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Lecture 9 : Estimating the Average Degree in an Undirected Graph
Lecture 9 : Estimating the Average Degree in an Undirected GraphLecture 9 : Estimating the Average Degree in an Undirected Graph
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Lecture 9 : Estimating the Average Degree in an Undirected Graph73906
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Lecture 10 : Balls and Bins, Birthday Paradox, Max Load
Lecture 10 : Balls and Bins, Birthday Paradox, Max LoadLecture 10 : Balls and Bins, Birthday Paradox, Max Load
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Lecture 10 : Balls and Bins, Birthday Paradox, Max Load73994
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Lecture 11 : Balls and Bins, Coupon Collector, Poisson Random Variables
Lecture 11 : Balls and Bins, Coupon Collector, Poisson Random VariablesLecture 11 : Balls and Bins, Coupon Collector, Poisson Random Variables
Prerequisites:
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Lecture 11 : Balls and Bins, Coupon Collector, Poisson Random Variables73995
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Lecture 12 : Balls and Bins, Poisson Approximation + Applications
Lecture 12 : Balls and Bins, Poisson Approximation + ApplicationsLecture 12 : Balls and Bins, Poisson Approximation + Applications
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Lecture 12 : Balls and Bins, Poisson Approximation + Applications73996
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Lecture 16 : Streaming I : Count-Min
Lecture 16 : Streaming I : Count-MinLecture 16 : Streaming I : Count-Min
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Lecture 17 : Streaming II : Count-Sketch, Estimating F2
Lecture 17 : Streaming II : Count-Sketch, Estimating F2Lecture 17 : Streaming II : Count-Sketch, Estimating F2
Prerequisites:
Module CompletedModule In ProgressModule Locked
Lecture 17 : Streaming II : Count-Sketch, Estimating F274168
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Lecture 18 : Streaming III : Reservoir Sampling, Estimating F_k
Lecture 18 : Streaming III : Reservoir Sampling, Estimating F_kLecture 18 : Streaming III : Reservoir Sampling, Estimating F_k
Prerequisites:
Module CompletedModule In ProgressModule Locked
Lecture 18 : Streaming III : Reservoir Sampling, Estimating F_k74169
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Lecture 19 : Streaming IV : Distinct Elements, Flajolet-Martin
Lecture 19 : Streaming IV : Distinct Elements, Flajolet-MartinLecture 19 : Streaming IV : Distinct Elements, Flajolet-Martin
Prerequisites:
Module CompletedModule In ProgressModule Locked
Lecture 19 : Streaming IV : Distinct Elements, Flajolet-Martin74298
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Lecture 20 : Streaming V : More on Distinct Items, BJKST
Lecture 20 : Streaming V : More on Distinct Items, BJKSTLecture 20 : Streaming V : More on Distinct Items, BJKST
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Module CompletedModule In ProgressModule Locked
Lecture 20 : Streaming V : More on Distinct Items, BJKST74299
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Lecture 21 : Streaming VI : Distinct Elements with Deletion
Lecture 21 : Streaming VI : Distinct Elements with DeletionLecture 21 : Streaming VI : Distinct Elements with Deletion
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Module CompletedModule In ProgressModule Locked
Lecture 21 : Streaming VI : Distinct Elements with Deletion74300
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Lecture 22 : The Experts Problem
Lecture 22 : The Experts ProblemLecture 22 : The Experts Problem
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Lecture 24 : Follow the Perturbed Leader
Lecture 24 : Follow the Perturbed LeaderLecture 24 : Follow the Perturbed Leader
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Lecture 25 : Randomization and Approximation Algorithms
Lecture 25 : Randomization and Approximation AlgorithmsLecture 25 : Randomization and Approximation Algorithms
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Lecture 25 : Randomization and Approximation Algorithms74402
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Lecture 28 : Wrap-up, AMA
Lecture 28 : Wrap-up, AMALecture 28 : Wrap-up, AMA
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