This is the repository of course materials for the 18.335J/6.7310J course at MIT, taught by Dr. Shi Chen, in Spring 2025. Topics: Advanced introduction to numerical linear algebra and related ...
An curated and actionable list of videos to learn the fundamentals of Math for Data Science You don't need a PhD in Math to start with Data Science. Most resources will list tens of entire courses ...
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The course gives an introduction to the most important notions and problems in mathematical finance. The theory of arbitrage for pricing and hedging derivatives (options) will be studied in the ...
Rigorous Statistical Mechanics has a long tradition, starting in the 1960s with Dobrushin, Lanford, Ruelle, Sinai and many other mathematical physicists. Yet, surprisingly, there has not been an up-to ...
Course Description: Generating functions, discrete and continuous versions of Poisson and Markov processes, branching and renewal processes, introduction to stochastic calculus and diffusion. Course ...
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