[{"data":1,"prerenderedAt":122},["ShallowReactive",2],{"term-m\u002Fmachine-learning":3,"related-m\u002Fmachine-learning":104},{"id":4,"title":5,"acronym":6,"body":7,"category":83,"description":84,"difficulty":85,"extension":86,"letter":87,"meta":88,"navigation":89,"path":90,"related":91,"seo":97,"sitemap":98,"stem":101,"subcategory":102,"__hash__":103},"terms\u002Fterms\u002Fm\u002Fmachine-learning.md","Machine Learning","ML",{"type":8,"value":9,"toc":77},"minimark",[10,15,19,23,26,30,66,70,73],[11,12,14],"h2",{"id":13},"eli5-the-vibe-check","ELI5 — The Vibe Check",[16,17,18],"p",{},"Machine Learning is teaching a computer by showing it thousands of examples instead of writing out every rule. Show it 100,000 cat pictures and it learns what a cat looks like — you never had to tell it 'cats have pointy ears and judge you constantly.' The computer figures out the rules itself.",[11,20,22],{"id":21},"real-talk","Real Talk",[16,24,25],{},"Machine Learning is a subset of AI where algorithms learn patterns from data without being explicitly programmed for each case. Models are trained on labeled or unlabeled datasets to minimize a loss function, gradually improving their predictions. 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