Abstract: In a formal data analysis workflow, data validation is a necessary step that helps data analysts verify the quality of the data and ensure the reliability of the results. Data analysts ...

Abstract: Understanding the input and output of data wrangling scripts is crucial for various tasks like debugging code and onboarding new data. However, existing research on script understanding ...

There has recently been a lot of ongoing research in the areas of fairness, bias and explainability of machine learning (ML) models due to the self-evident or regulatory requirements of various ML ...

PPC advertising has never stood still. Efficiency, scalability, and smart automation are now essential for success, but that wasn’t always the case. When I started more than 15 years ago, campaign ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

LangExtract lets users define custom extraction tasks using natural language instructions and high-quality “few-shot” examples. This empowers developers and analysts to specify exactly which entities, ...