Blog | Steven Morse

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2025

Setting up a Gaming PC as a Remote ML/AI rig (Part 2)
August 22
Fractional Kelly
April 9
Betting strategies and the Kelly Criterion
February 15
Gambler's walk - some simulations in Python
February 12
Blessing of Dimensionality: Manifold Learning of Random Walks
February 11
Odds, Bets, and Probability
January 20

2024

Using the NYT Crossword and Games API
December 23
Hawkes process - complete log-likelihood
October 17
Setting up a Gaming PC as a Remote ML/AI rig
August 8
A Simple Handmade Jupyter Notebook to Markdown converter
April 7
Fourier Transforms (with Python examples)
April 6
Conway's Game of Life - Javascript
February 4

2023

Bayesian Coin Flipping
December 30
Simulating a Log-Gaussian Cox Process
January 28
Gibbs sampling (Intro with linear regression, in Python)
January 14
Principal Components Analysis (in Python)
January 8

2022

More linear regression -- getting Bayesian
December 29
Linear Regression (again)
December 26
Gaussian Processes - how do they work again?
December 23
Poisson process simulations in Python - Part 2
December 20
Poisson process simulations in Python - Part 1
December 14

2020

Exploring the Spotify API in Python
May 1
6 - Ethics, Limitations, and the Future of AI
April 6
5 - Safari Tour of Modern ML Models
April 5
4 - Getting crazy: deep neural networks
April 4
3 - Expanding the framework: bigger data, bigger models
April 3
2 - Peeking under the hood with a linear model
April 2
1 - AI and Machine Learning: the big ideas
April 1

2019

Measuring Roster Skill in Fantasy Football
September 15
Scraping Pro Football Reference with Python
August 13
Checking ESPN Fantasy Football Projections with Python
August 5
Using ESPN's new Fantasy API (v3)
July 27
Autocorrelation in Elo ratings
June 12
Momentum vs. Acceleration in Gradient Descent
June 5
Elo as a statistical learning model
May 20

2018

Clustering NFL Wide Receivers by Individual Play Distributions
August 19
Anything you can do, I can do (kinda). Tidyverse pipes in Pandas
August 8
Scraping ESPN Fantasy Football (in Python) - Part 3
August 3
Boxscores with ESPN Fantasy Football (in Python) - Part 2
August 1
Using the ESPN Fantasy Football API (in Python)
June 27

2017

Neural Networks for a beginner (Part II: code)
October 1
Neural Networks for a beginner (Part I: theory)
September 30
Python class for Hawkes processes
June 26
Analyzing iMessage conversations
May 30
Custom LaTeXTools builder for a thesis
March 8
Quarto, Part 1 (Theory)
March 1
Making crossword puzzles with integer programming
February 19
Scraping Pro-Football-Reference (in R)
February 9
Scarborough Fair (Simon & Garfunkel) Tutorial
January 27
Teaching R in a beginner data science class
January 16

2016

Text Formatting
December 31
New site
December 30