The Mightyohm Geiger Counter on Raspberry Pi 4

4 minute read

I slogged my way to a working Mightyohm Geiger Counter integration with a Raspberry Pi 4.

Machine Learning Likelihood, Loss, Gradient, and Hessian Cheat Sheet

6 minute read

Cheat sheet for likelihoods, loss functions, gradients, and Hessians.

Deploy Custom Shiny Apps to AWS Elastic Beanstalk

5 minute read

How I tricked AWS into serving R Shiny with my local custom applications using rocker and Elastic Beanstalk.

Debugging Metaflow Jobs

3 minute read

The combination of an IDE, a Jupyter notebook, and some best practices can radically shorten the Metaflow development and debugging cycle.

Metaflow Best Practices for Machine Learning

8 minute read

Some of these are specific to Metaflow, some are more general to Python and ML.

Machine Learning Model Selection with Metaflow

7 minute read

Configurable, repeatable, parallel model selection using Metaflow, including randomized hyperparameter tuning, cross-validation, and early stopping.

Where Those Loss Constants Come From

9 minute read

Here’s where that n and that 2 come from in the square-loss objective function, in gory detail.

Parallel Grep and Awk

4 minute read

I get a nearly 6x speedup over standard grep by using GNU parallel.

Hacking a Serverless Machine-Learning Scoring Microservice with AWS Lambda

5 minute read

In this post I’ll attempt to hack a scikit-learn model prediction microservice with AWS Lambda.

Guaranteeing k Samples in Streaming Sampling Without Replacement

8 minute read

If you need $k$ samples out of $N$ in Hive or Pig, typically you’d naively choose $p = k/N$, but this only gives you $k$ on average.

The Streaming Distributed Bootstrap

14 minute read

The streaming distributed bootstrap is a really fun solution, and I’ve mocked up a Python package to test it out.

Fast and Lean Ad Hoc Binary Classifier Evaluation

9 minute read