Statistics: Dependence of random variables and conditional distributions 3 with Michal Fabinger

We're excited to host lectures on Statistics. They are a part of a 2022 lecture series that aims to build a solid foundation of statistics knowledge for the participants. These 3 lectures by Michal Fabinger cover core aspects of statistical models: relationships between random variables. The concepts are introduced in an intuitive yet rigorous way.

📌 To sign up for the whole lecture series, please fill out this form:

The material should later help the participants understand scientific articles that use probability theory and statistics. Such knowledge is useful both for machine learning and data science practitioners and for those on an academic path (undergraduates, graduate students, postdocs, or faculty members). The content is similar to the corresponding course at the Acalonia school.

📌 Topics discussed: The topics include expectations, independence of random variables, joint distributions, marginal distributions, conditional
distributions, and Bayesian reasoning, as well as covariance and
correlation.

system for a world where location does not matter. The school provides a straightforward way for talented people from developed and developing countries to improve their skills for their current jobs,

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MLT (Machine Learning Tokyo)