GPT-5.2 Pro delivers a Lean-verified proof of Erdős Problem 397, marking a shift from pattern-matching AI to autonomous ...

Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...

To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

ENVIRONMENT: Our client is on the hunt for a Data Scientist who can make machines think smarter than humans. Based in George where your models run fast and the coffee runs faster, you’ll join a team ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Overview: LLMs help developers identify and fix complex code issues faster by automatically understanding the full project ...

With technology growing faster than ever, many Class 12 students dream of working in IT, AI, or data-driven fields. Data is now called the “new oil,” .

I'm not a programmer, but I tried four vibe coding tools to see if I could build anything at all on my own. Here's what I did and did not accomplish.

Anyone preparing for quant interviews must develop depth across several skill areas and know how to apply theory in a practical setting.