STATS 305B: Applied Statistics II. Models and Algorithms for Discrete Data.
MIT License
No README available, please check again later.
Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
STATS320: Statistical Methods for Neural Data Analysis
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
Introduction to Machine Learning course for Mathematics and data analysis studies in Winter 2023/...
Machine Learning Methods for Neural Data Analysis
Book_5_《统计至简》 | 鸢尾花书:从加减乘除到机器学习;上架!
Reducing the temporal-difference learning theory of dopamine to a linear dynamical system
Code material for a data science tutorial
The aim is to revise deep learning, statistics, and learn cutting edge implementations of state o...
STATS305C: Applied Statistics III (Spring, 2023)
Practice repo for the book "Statistical Modelling for Data Analysis"
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)