day-13 of 180 social media me machine learning ЁЯдФЁЯШНkaise use hori h #mlwithakansha #learnpythonin2024

18 Jan 2024 ┬╖ 1 min
1:00

In this Hindi monologue, Akansha Yadav reflects on the everyday ways machine learning (ML) operates within social media platforms. She begins by noting that when she types a message, the platform automatically suggests emojis that match the sentiment of her text тАУ an example of sentiment analysis. She then observes that when she attempts to post potentially inappropriate content, the system flags it according to communityтАСguidelines, illustrating MLтАСdriven content moderation. Akansha expands the discussion to include image and video recognition, explaining that ML models identify visual media to enforce policies or enable features. Finally, she describes how social media personalizes the user experience: the platform learns her interests (e.g., shopping or gymтАСrelated content) and surfaces tailored recommendations. Throughout, she frames these four ML functionsтАФsentimentтАСbased emoji suggestions, content moderation, visual media recognition, and personalized recommendationтАФas the core trends she sees in daily socialтАСmedia use.

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