From Data Scientist to AI Architect
The end of model-centric thinking in data science The post From Data Scientist to AI Architect appeared first on Towards Data Science.
Towards Data Science·
How I turned my eight-year weekly visualization habit into a reusable AI workflow The post Beyond Prompting: Using Agent Skills in Data Science appeared first on Towards Data Science.
Read full articleThe end of model-centric thinking in data science The post From Data Scientist to AI Architect appeared first on Towards Data Science.
A practical guide to modern type annotations in Python for data science The post The Joy of Typing appeared first on Towards Data Science.
This article uncovers the craftsmanship of using robust statistics in data science processes: illustrating what to do when data fail tests due to not meeting standard assumptions.
There’s a lot of noise right now making it seem like you have to pick a side between MCP and Agent Skills. It’s being framed like a high-stakes rivalry, but that’s a total misunderstanding of the tech. Skills and MCP is fundamentally different things. Skills are just a prompt loaded on demand, while MCP is […] The post MCP vs Agent Skills: Different Altogether appeared first on Analytics Vidhya.
April 28, 2026 — The University of California San Diego has established the Halıcıoğlu School of Data Science and Computing thanks to $125 million in support from alumnus Taner Halıcıoğlu. […] The post UC San Diego Receives $125M from Taner Halıcıoğlu to Support Data Science School appeared first on AIwire.
Jamillah Knowles & Digit / Pink Office / Licenced by CC-BY 4.0 Yolanda Gil is a professor at the University of Southern California, where she also serves as Senior Director for major strategic AI and data science initiatives. From 2018 – 2020, she was president of AAAI. In her invited talk at AAAI 2026, she […]
Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing human thinking to AI agents, and the changing terrain of career paths today. The post A Career in Data Is Not Always a Straight Line, and That’s Okay appeared first on Towards Data Science.
In this tutorial, we explore Datashader, a powerful, high-performance visualization library for rendering massive datasets that quickly overwhelm traditional plotting tools. We work through its full rendering pipeline in Google Colab, starting from dense point clouds and reduction-based aggregations to categorical rendering, line visualizations, raster data, quadmesh grids, compositing, and dashboard-style analytical views. As we […] The post A Coding Tutorial on Datashader on Rendering Massive Datasets with High-Performance Python Visual Analytics appeared first on MarkTechPost.