This is Part 1 of a two-part series. In this article, we perform the data exploration. Project Objective The goal of this project is to model real estate prices in Kings County, Washington, USA. It is our hope that the model will be able to accurately predict housing prices based on a…

Get the math you need. In this post I’d like to share some math resources to help those pursuing a Data Science education on their own. One can take a full university course, in which case these resources may or may not be useful. Or one may enroll in a…

I have recently found myself reading a lot of deep learning research papers. I’m trying to learn all things Transformers. From Attention is All You Need by Vaswani et al., to the BERT paper by Devlin et al., and the GPT-3 by Brown et al., …

Back in 2017 Vaswani et al. introduced the transformer model in their seminal paper Attention Is All You Need. Transformers were originally an answer to some of the limitations of the then-dominant sequence-to-sequence (seq2seq) models — RNNs and LSTMs. These models suffer from the fact that they were truly sequential…

What I wish I knew before my project. I thought that it would be cool to build a language translator. At first, I thought that I would do so utilizing a recurrent neural network (RNN), or an LSTM. …

An important key to understanding Transformer models When I started to learn about the transformer model I found that the most difficult obstacles to understanding how they work are the concepts of positional encoding and self-attention. So I’m writing this post hoping that it will help others. …

The rise in medical imaging has had the benefit of providing early detection of disease leading to early intervention. It has also resulted in reduced use of invasive procedures. And with increase in data the burden in medical experts examining that data increases. According to this article hospitals are producing…

I was working on a project where I was to determine what factors go into the making of a financially successful movie. I wanted to account for movies released between 1930 and the 2010 decade. …