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Reframing LLM ‘Chat with Data’: Introducing LLM-Assisted Data Recipes

Source DALL·E 3 prompted with “Oil painting of a data chef making data recipes” TL;DR In this article, we cover some of the limitations in using Large Language Models (LLMs) to ‘Chat with Data’, proposing a ‘Data Recipes’ methodology which may

AI & Machine Learning for Business

A non-technical introduction Photo by Milad Fakurian on Unsplash The pace of AI innovation has been accelerating in recent years. While this has resulted in incredible new tools and technologies, it’s not entirely clear how we (i.e. professionals, entrepreneurs, and business

Exploring Public Storage Traces

What are they, where are they, and are they right for you? Photo by Hongwei FAN on Unsplash Input and output (I/O) operations refer to the transfer of data between a computer’s main memory and various peripherals. Storage peripherals such as HDDs

What is switchback testing for decision models?

What Is Switchback Testing for Decision Models? A/B testing for decision models Switchback testing for decision models allows algorithm teams to compare a candidate model to a baseline model in a true production environment, where both models are making real-world decisions for

Exploring a Two-Decade Trend: College Acceptance Rates and Tuition in the U.S.

Is it harder to get into college these days? BackgroundAs a recent Grinnell College alum, I’ve closely observed and been impacted by significant shifts in the academic landscape. When I graduated, the acceptance rate at Grinnell had plummeted by 15% from

4 Things All Analytics Engineers Must Learn in 2024

Foundational knowledge and upcoming trends in the modern data stack Continue reading on Towards Data Science »

Stop Overusing Scikit-Learn and Try OR-Tools Instead

Many Data Scientists overuse ML and neglect Mathematical Optimisation, even though it’s great for your career and easy to learn Continue reading on Towards Data Science »