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NLP course Week 2 - Vectorization

Continuing with the release of some of the notebooks from my upcoming course at Harvard Extension, here is week 2, focusing on going from tokens to vectors.

In NLP Course, NLP, tutorials, Mar 31, 2020

NLP course Week 1 - Tokenization

As I mentioned in a previous post, I’m going to be teaching a course at Harvard Extension this summer. I figured I’d begin posting some of the material here on the blog in case peopl...

In NLP Course, NLP, tutorials, Mar 10, 2020

Terraform tutorials - Set up with GCP

Something a little different here. I’ve found that I often am setting up a lot of infrastructure to serve applications and models and usually my approach is a bit ad-hoc. I have som...

In Mar 04, 2020

Strata AI talk and Harvard class

Happy new year!

In Feb 10, 2020

MIT Statistical Learning Lecture 3 Features and Kernels

All apologies for the long delay here. Lots of stuff going on including, but not limited to: A 3-week journey to China The revival of the Boston chapter of PyData Various work-rel...

In Dec 06, 2019

MIT Statistical Learning Lecture 2 - Regularized Least Squares

So we’re back with more Statistical Learning. In this class, we introduce the idea of regularization and some of the statistical underpinnings there.

In Oct 04, 2019

MIT Statistical Learning Lecture 1 - Overview

Recently I started attending a class at MIT on Statistical Learning Theory and Applications. The course is basically a deep dive into the statistical underpinnings of Machine Learnin...

In Sep 25, 2019

Sentiment analysis with spaCy-PyTorch Transformers

Trying another new thing here: There’s a really interesting example making use of the shiny new spaCy wrapper for PyTorch transformer models that I was excited to dive into. I figure...

In Sep 18, 2019