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KyleohBytes!

less than 1 minute read

Published:

Welcome to KyleohBytes, a new avenue to explore my thoughts on concepts and mental frameworks for data science. This is where I try to discuss concepts in data science grounded on my own understanding and mental models. I’ve always loved to learn new things and data science is just the gift that keeps on giving; there are so many things to learn but at the end of the day, I always believe that a solid grasp of fundamental concepts goes a long way.

So welcome! Hopefully I’ll shed some light on some of these core concepts and maybe have a little bit of fun along the way.

Well, hello there!

1 minute read

Published:

Well, here we are. I’ve been thinking of starting this blog for longest time, but I guess there’s no day like today right? So, let’s get some things out of the way:

portfolio

ConTextual

Published:

A deep dive into fake news and its effect on human interpratation through the use of deep transfer learning.

The Age of Incognito

Published:

Building recommender systems without transactional-level data in the age of data privacy .

Topic Modelling of Subreddit Clusters

Published:

Topic modelling applied to the clustering 10,000 sample posts from different subreddits using KMeans and Non-Negative Matrix Factorization (NMF).

publications

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.