After the presale ticket sales opened for Taylor Swift’s “Eras” tour — her first tour since 2018 — a mad rush ensued, leading to “historically unprecedented demand” that snapped up 2 million tickets, the most tickets ever sold for one artist in a day. The aftermath, termed “Taylor Swift’s Ticketmaster meltdown” has become a prevalent topic, even taking political dimensions and stimulating bipartisan outrage from some Democrats and Republicans who have questioned whether Ticketmaster handled the Swift ticket rollout appropriately. […]

NLP unleashed: unleashing the power of natural language processing.

by Alper Özöner and Ali Utku Aydın This week, we have made some progress on the model selection as well as the representation of the eye tracking data we obtained from our EyeTribe eye tracker. First off, we have finally solved the problem of reading the raw data and its formatting. Amusingly, the formatting of    

You might have noticed the dust on images in the icons and AWS UI. These are screenshot from 2016 (gulp), so reproducing these exact steps will be challenging to say the least. For example, at the time I felt generous enough to try Atom as my text editor — the redeeming value is that at least it was an Electron app. But S3 explorer? Fast forward five years, and, with some minor exceptions, it can still server as a valid […]

Amazon Sagemaker is a very popular service by AWS for building, training, and deploying machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. In this post, I will use Amazon Sagemaker to build a binary text classification model using bert-base-uncasedmodel on

Photo by Nick