Jason Brownlee

I'm a research scientist and software engineer.

Some things about me:

I grew up on the Internet in the 90s, also Melbourne, Australia.
I'm a programmer that explored a Masters and PhD in stochastic optimization.
Quake (1996 computer game) got me into programming and AI and has a soft spot in my heart.
I read a lot, 200-300 books/year, mostly non-fiction.
I retired at 40 after building and selling a machine learning publishing company.
I authored 40+ technical books and thousands of tutorials/essays.

Current Projects:

Machine learning, artificial intelligence, algorithms, concurrency, code, author books, etc.

Super Fast Python: Making python developers awesome at concurrency
Data Science Diagnostics: Helpful checks for data scientists with urgent problems
XGBoosting: Helping data scientists make better predictions with XGBoost
SKLearner: Helping data scientists make better predictions with Scikit-Learn
Algorithm Afternoon: Home for developers to discover and code clever algorithms on lazy afternoons.

Recent mini-projects:

Machine Learning Mischief: Examples from the dark side of data science (Dec 2024)
Data Science Diagnostic Checklist: Help! My Model is worse on the Test Set than the Train Set (Dec 2024)
Model Tracker: Lightweight predictive modeling machine learning model tracking system (Aug 2024).
Brilliant Minds Down Under: Australian Nobel Laureates in Science and Literature (April 2024).
Living Beyond Free Will: Strategies for Self-Improvement, Parenting, and Finding Purpose In A World Without Free Will (April 2024)
Healthy Whys: Kindle book series on why to get fit and healthy (Mar 2024).
Cosmic Horror Story Art: Generated art for horror stories (Mar 2024).
Fast Genetic Algorithm in Python: Python Genetic Algorithm running as fast as ANSI C (Oct 2023).
Interviews With Technical Experts: As impersonated by ChatGPT (July 2023)
Bad, Bad, Bad, Good: 30 Short Stories in 30 Days with ChatGPT + podcast (June 2023)
Evolutionary Algorithms and Openendedness: Ad hoc research on the topic (2020-2023).
Authority Site Advice: Advice on how to build and operate authority websites (2013-2021)
The Story of Machine Learning Mastery: How I Built, Operated, and Sold a Multimillion-Dollar Website (private memoir) (Sep 2021)

Quake archivist.

One-off/ad hoc archives:

Projects that had some impact:

Machine Learning Mastery (sold): Making developers awesome at machine learning (circa 2013-2021).
Mobile Game Engines (archived) Catalog and books about all mobile game engines (circa 2012-2013)
Clever Algorithms (archived) Clever Algorithms: Nature-Inspired Programming Recipes book (circa 2011-2012)
Human Debris (archived) Quake maps, mods, tutorials, programs (circa 1999-2001)

Smaller older projects:

Never Read Passively (archived): Programmer blog (2008-2012).
Daily AI Feed: Automated daily email newsletter on Artificial Intelligence articles (circa 2012-2015)
ChessML: Archive of the Chess Kaggle Competition project, circa 2010.
Github Contest: Github Recommender Contest Project Archive (circa 2009)
mayhem(method) (archived): Start-up projects (circa 2008)
- Five Second Test: (archived) A simple online usability test (became UsabilityHub/Lyssna).
- gnatDB: Record everything
- Screen Sponge: Connects you with the shows you want
- Comment is King: Tap into the broader conversation
- Spicy Elephant: The quickest way to put stuff in your brain
Ph.D. Research: Archive of my Ph.D. Research (circa 2004-2008)
- Pensive Pondering (archived): PhD research blog (2005-2006).
- Human TSP Solver: Archive of Human TSP Solver (circa 2008)
- Pigment: Archive of the Pigment project (circa 2008).
- Optimization Algorithm Toolkit (OAT): Archive (circa 2007).
- Max Path: Archive of my Max Path Competition and Solution (circa 2004).
- Cellz: Cellz competition project archive (circa 2004).
- WEKA Classification Algorithms (archived): LVQ, SOM, Neural Nets, AIRS, CLONALG, etc. (circa 2002-2007).