Using AWS Lambda functions in VPC with VPC endpoints

1 minute read

AWS Lambda is a great way to create a serverless event-driven compute service. There are a few set-ups headaches when it comes to having the Lambda function ...

Quick start on deploying your Dash application using Heroku on a custom domain

3 minute read

Platform as a service (Paas) and authentication platforms are making application deployments easier than before. Rather than shipping your python Dash applic...

Basics of few-shot learning with optimization-based meta-learning

7 minute read

Many machine learning models (particularly deep neural nets) require extensive training data. The idea of few-shot learning is to find ways to build models t...

Understanding binary classifier model structure based on Shapley feature interaction patterns

17 minute read

I have written a full version of this article, available on bioRxiv. A copy of which is presented below.

Expectation-maximization in general and for Gaussian mixtures

9 minute read

In statistical inference, we want to find what is the best model parameters given the observed data. In the frequentist view, this is about maximizing the li...

Vaccine efficacies (with COVID-19 examples) - Bayesian posterior VE/CI calculations

13 minute read

It was interesting to see that Pfizer/BioNTech used a Bayesian analysis of the primary endpoint for its COVID-19 vaccine. There are a few posts on this alrea...

Gibbs sampling of multivariate probability distributions

5 minute read

This is a continuation of a previous article I have written on Bayesian inference using Markov chain Monte Carlo (MCMC). Here we will extend to multivariate ...

Bayesian inference using Markov Chain Monte Carlo with Python (from scratch and with PyMC3)

9 minute read

A guide to Bayesian inference using Markov Chain Monte Carlo (Metropolis-Hastings algorithm) with python examples, and exploration of different data size/par...

Monte Carlo integration in Python over univariate and multivariate functions