Browsing: Data Science
Data analysis and the four types of questions it attempts to answerThis is part of a series on Strategic Data Analysis.Strategic Data Analysis (Part 1) ←…
An End-To-End Tutorial for BeginnersPhoto by Sebastian Pandelache on UnsplashIn this article, I will talk about one of the most popular data pipeline design patterns —…
The ability to effectively present complex topics to an organization is a skill that clearly sets data professionals apart in the working world. It’s vital to…
A handbook from simple to advanced frequency analysis: exploring a vital tool which is widely underutilized in data scienceFrequency analysis is extremely useful in a vast…
Adding context to your dynamic pricing problem can increase opportunities as well as challengesPhoto by Artem Beliaikin on UnsplashIn my previous article, I conducted a thorough…
Plain old feed-forward layers and their role in Transformers.As this is an ongoing series, if you haven’t done so yet, you might want to consider starting…
The internal_add function tries to efficiently insert a new range of integers into an existing list of sorted and disjoint integer ranges. For example, if we…
Whenever I conduct coding workshops or tutorials, Google Colaboratory Notebooks — or Colab, as it is more commonly known — remains my go-to resource. It removes…
Businesses are jumping on a bandwagon of creating something, anything that they can launch as a “Generative AI” feature or product. What’s driving this, and why…
Model Explainers Require Thoughtful InterpretationPhoto by Diogo Nunes on UnsplashIn this article, I compare model explainability techniques for feature interactions. In a surprising twist, two commonly…