jeromyanglim
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11 years ago - Mathematical Monk's probability primer: 43 videos introducing a mathematical treatment of probability
- Mathematical Monk's machine learning: 160 videos related to variables, regression, bayesian analysis
- Discrete Stochastic Processes from MIT: 25 lectures - reviews probability, then talks about poisson processes, and markov chains. Includes detailed course notes. Fairly mathematical. Assumes an initial course in probability. Very clear presenter.
- Linear Models - UCCS. Applies linear algebra to statistics. Appears to use textbook "Intro to Linear Regression Analysis" Montgomery et al 3rd edition/. To quote the site "Methods and results of linear algebra are developed to formulate and study a fundamental and widely applied area of statistics. Topics include generalized inverses, multivariate normal distribution and the general linear model. Applications focus on model building, design models, and computing methods. The Statistical Analysis System (software) is introduced as a tool for doing computations." see this course page