Material for STATS271: Applied Bayesian Statistics (Spring 2021)
Instructor: Scott Linderman
TAs: Ismael Lemhadri and Yu Wang
Stanford University, Spring 2021
STATS320: Statistical Methods for Neural Data Analysis
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
Machine Learning Methods for Neural Data Analysis
STATS305C: Applied Statistics III (Spring, 2023)
STATS 305B: Applied Statistics II. Models and Algorithms for Discrete Data.
Reducing the temporal-difference learning theory of dopamine to a linear dynamical system
How to do Bayesian statistical modelling using numpy and PyMC3
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
Repository for PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University...
Doing Bayesian statistics in Python!
Notebooks and data for StanCon2023 tutorial on BRMS
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at Universit...