Explores statistical hypothesis testing, including constructing confidence intervals, interpreting p-values, and making decisions based on significance levels.
Delves into mechanosensory interactions driving collective behavior in Drosophila, exploring odor responses, group movement, and touch-triggered reactions.
Explores the concept of explainable neural networks and their significance in improving model interpretability, particularly in finance and house price valuation.
Explores t-tests, confidence intervals, ANOVA, and hypothesis testing in statistics, emphasizing the importance of avoiding false discoveries and understanding the logic behind statistical tests.
