An experimental feature in VS Code 1.108, Agent Skills are folders of instructions, scripts, and resources that GitHub Copilot can load for specialized tasks. Visual Studio Code 1.108, the latest ...

Click the "Fork" button at the top of this page This creates your own copy at: github.com/YOUR_USERNAME/production-ready-data-science-code Clone your fork: ...

DeepAnalyze is the first agentic LLM for autonomous data science. It can autonomously complete a wide range of data-centric tasks without human intervention, supporting: [2025.11.13]: DeepAnalyze now ...

You’ll have two different options to complete your Master of Science in Data Science, each designed to give you the flexibility to match your career goals. Course-focused: Take classes such as ...

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...

What is Data Science Fundamentals with Python? Data science transforms information into action. Through programming, analytics, and machine learning, data professionals uncover patterns, generate ...

Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. AI is turning the idea of a database on its head.

Abstract: The emergence of generative AI (GenAI) is a major driving force behind the modern data science ecosystem, a field that exploits data as the central asset for actionable insights. Analogously ...

NVIDIA and the National Science Foundation are joining forces to support the development of several open AI models designed for use in science. In an announcement Thursday, NSF said it would ...

Google is introducing powerful tech for agents and data. They are also introducing a series of data-centric agents. A new command-line AI coding tool is now available. I am no stranger to hyperbolic ...

Abstract: The Support Vector Machine (SVM) is a popular classification algorithm and is known for its generalization properties in machine learning. In this paper, we propose parallel implementation ...