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Related lectures (15)
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Stochastic Calculus: Lecture 1
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.
Binomial and Poisson Mass Functions
Explores binomial and Poisson mass functions, calculating probabilities and discussing distribution functions of random variables.
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Covers optimization with constraints using KKT conditions and matrix invertibility in numerical analysis.
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Covers linear regression training to find the best line for given data points, essential for predicting house prices.
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Explores symmetries in Newtonian mechanics and wave equations, highlighting their significance in understanding physical laws.

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