Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
Covers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.
