In the fifth lesson of the series we’ll learn how to build more flexible linear models by adding interaction and polynomial terms. We’ll fit and inspect our models both mathematically and visually to understand how they work. In the process, we’ll continue to practice our Python skills and discuss some of the merits (and drawbacks)… The post Level Up: Linear Regression in Python – Part 5 appeared first on Stack Overflow Blog.
https://stackoverflow.blog/2021/06/19/level-up-linear-regression-in-python-part-5/
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On today’s episode, Ben and Ryan chat with Laly Bar-Ilan, Chief Scientist at Bit. https://stackoverflow.blog/2025/04/18/generating-components-not-tokens/
Is “agentic AI” just a buzzword, or is it the sea change it seems? https://stackoverflow.blog/2025/04/17/wait-what-is-agentic-ai/
Kyle chats with Jesse Tomchak a software engineer at ClickUp about all the spicy backend takes they could find. https://stackoverflow.blog/2025/04/09/wbit-6-be-curious-ask-questions-and-don-t-argue-w
AI is not a linear process. To scale effectively, engineering leaders must account for varied edge cases, presenting a new set of challenges. https://stackoverflow.blog/2025/04/16/engineering-teams-ne
Kyle interviews Michael Stum, a former Stacker who started (and returned) to answering questions on the community site. https://stackoverflow.blog/2025/04/16/wbit-7-exploring-webassembly-with-the-fir
2025.3 | Teams Enterprise Release https://stackoverflow.blog/2025/04/15/smarter-insights-stronger-teams-new-features-for-stack-overflow-for-teams/
In today’s episode, Ryan sits down with Richard “Spencer” Schaefer, cofounder and CTO of Lunar Analytics and a federal AI officer, and Caroline Zhang, cofounder and CTO of Knowtex, which provides AI-p
