STATS320: Statistical Methods for Neural Data Analysis
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Reducing the temporal-difference learning theory of dopamine to a linear dynamical system
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
Material for STATS271: Applied Bayesian Statistics (Spring 2021)
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
Data Science Massive Open Online Course: All the code, notes and supplementary materials generate...
This repository contains all my small projects related with Data Science and Machine Learning.
Introduction to Machine Learning course for Mathematics and data analysis studies in Winter 2023/...
Minimalistic example code for various machine learning and deep learning topics
Machine Learning Methods for Neural Data Analysis
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)
STATS 305B: Applied Statistics II. Models and Algorithms for Discrete Data.
Examples of applied machine learning
STATS305C: Applied Statistics III (Spring, 2023)
Machine learning and adaptive intelligence module for 2015.