All Stories
Hierarchical Modelling in Real Life at PyData NYC
It’s conference season huzzah! My friend Matt Moocarme and I will be giving a workshop on hierarchical probabilistic models tomorrow at PyData NYC. It’s based on the methods I descri...
In Oct 18, 2018Bayesian Hierarchical modeling talk
I’ll be giving a talk at ODSC Europe tomorrow (2018-09-22) on Bayesian Hierarchical modeling and an application at my work. Should be really interesting. I’m putting the slides up h...
In Sep 21, 2018Progress on D4D project
I wanted to share some recent recognition the D4D Crash model project (now referred to as Insight Lane) has been making in recent months. First, we released version 1 of our project,...
In Sep 05, 2018Updates
Sorry for the radio silence, I recently started a job as Data Scientist for ThriveHive, a SaaS company providing managed marketing for small businesses. It’s super interesting, and h...
In Jun 14, 2017Results of the D4D hackathon
Thanks to all the awesome people at Data 4 Democracy, MIT and data.world we pulled off a great hackathon. If you want to see some of the participants showing off their work (and my t...
In Apr 03, 2017D4D traffic modelling hackathon.
It’s happening, people! The Data 4 Democracy (with a little help from City of Boston) hackathon. If you’re in the Boston area or a fan of the Boston area or, heck, if you just got no...
In Mar 23, 2017Adventures in spatial analysis
Related to my project with Data 4 Democracy, I’ve started compiling some scripts for spatial analysis. Particulary interesting (at least to me) is a bit of TSPLIB I adapted for use w...
In Mar 17, 2017Featured
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LLM Apps Part 5 - Even finer tuning - Quantization and LoRA
In LLM App Series, LLM, tutorials, -
LLM Apps Part 4 - Only the finest tuning
In LLM App Series, LLM, tutorials, -
LLM Apps Part 3 - RAGs to riches
In LLM App Series, LLM, tutorials, -
LLM technology for dermatology
In Dermatology, research, -
The Embiggening of NLP - Part 3 - Fine-tuning
In LLM Intro Series, LLM, tutorials, -
The Embiggening of NLP - Part 2 - LARGE Language Models
In LLM Intro Series, LLM, tutorials,