Announcing my new (FREE) course: Basics of Graph Neural Networks (bit.ly/3NjylWu). The focus is to give you a fast, high-level overview of common Graph Machine Learning algorithms. Video lectures, one-click deployable coding exercises, quizzes and expert interviews.
"Using Python to automate your work can be a really rewarding thing to learn."
@DatagyIo explains how you can streamline much of your Excel reporting with just a few code snippets. buff.ly/3lvGknU
About the raging debate regarding the significance of recent progress in AI, it may be useful to (re)state a few obvious facts:
(0) there is no such thing as AGI. Reaching "Human Level AI" may be a useful goal, but even humans are specialized.
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Iβm so stoked to have chai w the Kaggle legend: @JFPuget for the fourth time! π
We will learn from Triple Grandmaster about their recent works and 2nd pos solution from the NBME competition
youtube.com/watch?v=K41_g6w2β¦
Researchers in speech recognition, computer vision, and natural language processing in the 2000s were obsessed with accurate representations of uncertainty.
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Being active on @kaggle and making many professional connections has undoubtedly helped my portfolio stand out.
π To give an inside scoop, I've written a short blog post about my trade secrets: kaggle.com/discussions/gettiβ¦