Sept. 27, 2021

Jonny Law

Comparing the performance of multiple machine learning models using Bayesian Hierarchical models.

Aug. 16, 2021

Jonny Law

Python

Deep Learning

Bayesian

Using MC Dropout to get probability intervals for neural network predictions.

Aug. 4, 2021

Jonny Law

Python

Deep Learning

Creating entity embeddings for categorical predictors using Python.

Feb. 2, 2021

Jonny Law

R

Deep Learning

This post explores how to create a simple neural network to learn a linear function and a non-linear function using both standard R and the Torch library for R.

May 1, 2020

Jonny Law

Bayesian

R

April 19, 2020

Jonny Law

R

Bayesian

March 17, 2020

Jonny Law

tidy-tuesday

R

Bayesian

March 10, 2020

Jonny Law

tidy-tuesday

R

March 4, 2020

Jonny Law

R

March 3, 2020

Jonny Law

R

tidy-tuesday

Nov. 4, 2019

Jonny Law

R

Aug. 5, 2019

Jonny Law

R

July 31, 2019

Jonny Law

R

Bayesian

June 14, 2019

Jonny Law

R

Bayesian

April 16, 2019

Jonny Law

Scala

April 15, 2019

Jonny Law

Scala

Feb. 25, 2019

Jonny Law

R

Feb. 25, 2019

Jonny Law

R

Bayesian

Feb. 22, 2019

Jonny Law

R

Feb. 11, 2019

Jonny Law

R

Bayesian

Oct. 26, 2017

Jonny Law

R

April 23, 2017

Jonny Law

Scala

Bayesian

Feb. 21, 2017

Jonny Law

Scala

Jan. 4, 2017

Jonny Law

Scala

Dec. 13, 2016

Jonny Law

Bayesian

Scala

Dec. 12, 2016

Jonny Law

Scala

Bayesian

Dec. 1, 2016

Jonny Law

Scala

- Articles (27)
- Bayesian (11)
- Deep Learning (3)
- Python (2)
- R (16)
- Scala (8)
- tidy-tuesday (3)