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rubysardine41
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University of California - Berkeley
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BERKELEY
IND ENG 172 Lecture Notes - Lecture 1: Sydney Trains S Set, Subset, Venn Diagram
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BERKELEY
PHYSICS 7B Lecture Notes - Lecture 1: Thermodynamics, Eugenius Warming
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BERKELEY
IND ENG 263A Lecture Notes - Lecture 2: Moment-Generating Function, Central Limit Theorem, Random Variable
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BERKELEY
EL ENG 126 Lecture Notes - Lecture 15: Hidden Markov Model, Multivariate Normal Distribution, Independent And Identically Distributed Random Variables
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BERKELEY
EL ENG 126 Lecture Notes - Lecture 6: Random Variable
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BERKELEY
EL ENG 126 Lecture Notes - Lecture 4: Exponential Distribution, Exponential Growth, Random Variable
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 10: Convex Optimization, Unimodality, Tangent Space
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 7: Backtracking, Gradient Descent, Stationary Point
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 9: The Algorithm, Backtracking, Descent Direction
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 6: Taylor Series, Maxima And Minima
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 5: Stationary Point, Symmetric Matrix
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 4: Golden Ratio, Unimodality, The Algorithm
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 3: Stationary Point, Saddle Point, Univariate
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BERKELEY
IND ENG 160 Lecture Notes - Lecture 2: Univariate, Maxima And Minima, Stationary Point
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BERKELEY
IND ENG 160 Lecture 1: 8:28
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