gan example

DS4PH Git github and version control

How I'm using Zoom for teaching

Followup on zoom for teaching, what the recordings page looks like

04 Basic regression using pytorch

03 What are those NN diagrams 3

02 What are those neural network diagrams 2

01 Neural network diagrams, getting started

On causation and manipulation

The geometric mean and logging data

Bayesianism versus Frequentism rediscussed via statistical pragmatism

How to create and serve a simple web page with github pages.

Getting gigantum running on a digital ocean server

Deep learning in public health and personalized medicine

Methods in Biostatistics with R

Methods in Biostatistics with R short intro 720HD

A trick for running Rstudio on paperspace through SSH

How to use docker to run an rustdio server on digital ocean

On applying to and accepting offers from PhD/Master's programs

Trying out gnu-root debian

Why are P-values uniformly distributed under H0?

Try out the new Rstudio server

Will AI eat statistics?

Silly little tip, register your IP with a DNS hosting service

How can I get started in Bayesian data analysis?

Setting up keras, rstudio server and shiny

What math prereqs do I need for biostat grad school; how long will it take me to get them

Why aren't you settings your chrome settings as a search engine?

Clearing the docket

How to embed a shiny app

What do people mean when they say a statistic is "Robust to normality"?

R versus Python, sort of, not really

Should I rescale my regression variables?

Post model selection inference

What R IDE should I use

Screencastify

Review of Jeff Leek's blog post on chromebook data science

Which regression

Review of wevideo

What are GAMs

What is GEE (Episode 27)

Short evaluation of Paperspace

What is a P-Value? (episode 24)

What should I use to serve R applications over the internet? (episode 23)

Week 22 What are the steps of a data science experiment

Week 21 Is regression an ML technique?

Week 20 Setting Up an Rstudio Server on Digital Ocean or EC2

Week 18 the future of MOOCs

Week 17, Mediation versus Moderation

week 16 will data science eventually take over the field of statistics?

week 15 what mathematics should I know to apply to a stats/biostats PhD program?

Week 14, professors and startups

Week 13, robust variance estimation

Week 12 what is Chi-Squared testing / Filtering

Week 11, question olio

Week 10 What's too big? Also, excuses for no video last week

Week 9 Machine Learning versus classical statistics

Week 8, should I get a PhD, if so in what?

Week 7 R versus Excel

Week 6, IID assumptions demystified, sort of