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Steve Brunton summaries
Every long episode from Steve Brunton, read in minutes: the key takeaways, the chapters, and a digest of the whole conversation.
Bayesian Inference: Overview
Bayesian inference balances prior beliefs with observed data to update probability models, offering a robust approach for uncertainty quantification and decision-making.
The Chi-Squared Test : Are Two Distributions the Same? (with Python Example)
The Chi-Squared Test is a powerful statistical method for assessing if two distributions are the same using a specified hypothesis and test statistic.
PyDMD: A Python Package for Dynamic Mode Decomposition (DMD)
Explore the PIDMD Python package for implementing Dynamic Mode Decomposition (DMD) to analyze time-varying data effectively.
Maximum Likelihood Estimation (MLE) with Examples
This video introduces Maximum Likelihood Estimation (MLE), a powerful statistical method to estimate parameters from data, crucial in many ML algorithms.