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    Home»Artificial Intelligence»Learning ML or Learning About Learning ML? | by Pascal Janetzky | Jan, 2025
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    Learning ML or Learning About Learning ML? | by Pascal Janetzky | Jan, 2025

    Team_AIBS NewsBy Team_AIBS NewsJanuary 4, 2025No Comments1 Min Read
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    Pragmatism versus (over-)planning

    Towards Data Science

    We’ve all been there. Our browsers are filled with them, our notes are overflowing, and we regularly have detailed plan on tackling them: on-line programs about Machine Studying, articles about Machine Studying, movies about Machine Studying.

    Roaming across the web, we’re endlessly populating our checklist of “cool ML assets.” After we discover a pre-made curriculum about how we will study ML in X days, it’s as if we’ve got hit the jackpot. “That’s precisely what I wanted,” we inform ourselves, “that’s how I can study ML.” We’re enthusiastic about ML, and we shortly get equipped by shiny new issues, programs, studying materials.



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