Classifying fruits with a Convolutional Neural Network in Keras

I followed a tutorial on Convolutional Neural Networks that left many questions unanswered. Soon I realized that the actual process of architecting a Neural Network and setting the parameters seemed to be much more experimental than I thought. It took a while to find explanations that a rookie like me could understand. Most of the… Continue reading Classifying fruits with a Convolutional Neural Network in Keras

Readability scoring of the United Nations Corpus

Imagine you could estimate how hard would be to read a document, before reading it. Imagine you could do it for entire batches of documents you need to process. Imagine you could have a recommender system that would help you prioritize unread documents according to their difficulty. A bit of experimentation with the public United… Continue reading Readability scoring of the United Nations Corpus

Recommender system for finding subject matter experts using the Enron email corpus

This is a little project to create a recommender system to find mentors inside an organization, using Natural Language Processing. It started as an excuse to build a data visualization I had in mind: an interactive word cloud that did something. When I started, I didn’t know anything about Topic Modeling, Topic Extraction, or Natural… Continue reading Recommender system for finding subject matter experts using the Enron email corpus

Linear Optimization with or-tools

  Getting started Over the last couple of months I’ve been getting my feet wet with linear programming and mathematical optimisation. I got a sense of how it all worked from this Discrete Optimisation course in Coursera and googling around I discovered that there are a ton of tools out there to help you solve… Continue reading Linear Optimization with or-tools