A repo - collection of subjectively good talks about general data science topics.
- Aric LaBarr: The Bayesians are Coming to Time Series A good starter on time-series modelling.
- Matthijs Brouns: Bayesian hierarchical time series with Prophet and PyMC3
Mostly concentrated on pymc3 timeseries modeling, but practical. Github repo: https://github.com/MBrouns/timeseers.
- Chris Fonnesbeck: A Primer on Gaussian Processes for Regression Analysis
Hands-on workshop for GP in regression analysis in pymc3. GitHub repo: https://github.com/fonnesbeck/gp_regression
- Vincent Warmerdam: How to Constrain Artificial Stupidity
Great talk that discusses few topics: uncertainty of ML models, way to counteract it, fairness in ML.
- Vincent Warmerdam: Gaussian Progress
Nice tips and tricks for using Gaussian Mixture Models in neural nets & modeling.
- Aileen Nielsen: Modern Time Series Analysis
A 3h tutorial on time series modelling with a hands-on practical examples.