Browsing: Data Science
Learn from Software Engineers and Discover the Joy of ‘Worse is Better’ Thinkingsource: unsplash.comRecently, I have had the fortune of speaking to a number of data…
It is surprising how some of the basic subjects in machine learning are still unknown by researchers and despite being fundamental and common to use, seem…
Image by narciso1 from PixabayThe stellar performance of large language models (LLMs) such as ChatGPT has shocked the world. The breakthrough was made by the invention…
What about default values and argument extractions?from pydantic import validate_call@validate_call(validate_return=True)def add(*args: int, a: int, b: int = 4) -> int:return str(sum(args) + a + b)# —-add(4,3,4)>…
There are various modeling techniques for hierarchies. Which of them performs best in dimensional modeling in Data Warehouses? And how to address various types of hierarchies…
What can we learn from this modern problem?Photo by Igor Omilaev on UnsplashGDP is a very strong metric of a country’s economic well-being; therefore, making forecasts…
In the context of Language Models and Agentic AI, memory and grounding are both hot and emerging fields of research. And although they are often placed…
What are they and what are they notIn this article, I attempt to clarify the use of essential tools in the applied econometrician’s toolkit: Difference-in-Differences (DiD)…
The only 5-steps roadmap you need. Your new career journey starts here!11 min read·14 hours agoI’m Khouloud El Alami, a data scientist at Spotify, and I…
Part 1 – Basic Concepts and ExamplesLinear programming is a powerful optimization technique that is used to improve decision making in many domains. This is the…