It sounds trivial, almost too silly to be a line item on a CFO’s dashboard. But in a usage-metered world, sloppy typing is a ...

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 ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

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

Abstract: This study presents a comprehensive survey on Quantum Machine Learning (QML) along with its current status, challenges, and perspectives. QML combines quantum computing and machine learning ...

CDAC AI course offers industry-oriented training in artificial intelligence, machine learning, and data science. Learn about ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: The object of the study is working with data obtained from sensors of Android-based mobile devices. The subject of the study is methods of preprocessing data from sensors of Android-based ...