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