MNIST digit recognition using a convolutional neural net (CNN)

I’ve been working my way through the TensorFlow in Practice Specialization on Coursera. I’m learning how to use neural networks to solve problems like image recognition. I decided to take a break from the course and try applying what I’ve learned so far to one of the Kaggle competitions. The MNIST is a database of more than 50,000 handwritten numbers. The goal, usually, is to train a model that can be used for digit recognition.

An interactive ML tool for predicting heart disease

In a previous blog ("Modeling the UCI Heart Disease dataset") I trained a model to predict the presence of heart disease. So I have a model, now what? Machine learning models like this can be put to work generating predictions on new inputs, and they’re great for simulations as well. Let’s say we wanted to know the likelihood of heart disease for a 60 year-old male with a cholesterol value of 244, and a resting blood pressure value of 88.

A simple Twilio SMS frontend using Nodejs

We’re starting to use SMS at work for communicating with customers, and there was a need for a tool that would allow us to send SMS messages and check the history of calls and messages to the phone number we are sending from. With that in mind, I coded a simple frontend to the Twilio API. The frontend is a page with 4 navigation tabs that allow sending a single SMS, sending SMS in bulk, seeing the status of sent SMS messages, and fetching the inbound call/SMS log.