When we develop Machine Learning models, we usually need to run lots of experiments to figure out which hyperparameter setting is best for a given algorithm. This can often lead to dirty code and…
When companies need a secure, performant, and scalable storage solution, they tend to gravitate toward the cloud. One of the most popular platforms in the game is AWS S3 — and for a good reason —…
In this tutorial, I will demonstrate how to use Burr, an open source framework (disclosure: I helped create it), using simple OpenAI client calls to GPT4, and FastAPI to create a custom email…
Recently, I was browsing Max trying to find a movie to watch. Typically this involves browsing through the various lists presented to me, reading a few descriptions, and then picking something that…
Good morning, AI enthusiasts! This week, the community has several exciting events, collaboration opportunities, and projects. We are also close to releasing a few amazing resources and need your…
Circular imports occur quite often during the development of Python applications and packages. The error arises when two modules attempt to import each other simultaneously — this creates a loop…
The fundamental principles of math that data scientists use in their day-to-day work may have been around for centuries, but that doesn’t mean we should approach the topic as if we only learn it once…
A man and a woman talk inside a quiet room in a clinical research center. The woman asks questions and then waits for the man to answer while taking some notes. It might seem like a normal…
While I know it might sound like a cliché, being a data scientist often involves having the mentality of a lifelong learner. The field is developing so quickly that it takes time and lots of effort…
Hello Medium readers! I’m excited to share some learnings from a recent project where I dived into the complexity of SAP’s data models.
