Introduction To Machine Learning by Simplilearn
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My response from the quiz in this video;
Scenario 1 – Unsupervised
Scenario 2 – Unsupervised
Scenario 3 – Supervised
Scenario 1- Supervised
Scenario 2- Unsupervised
Scenario 3 – Reinforcement
Scenario 1 : Supervised machine learning
Scenario 2: Unsupervised machine learning
Scenario 3 Reinforcement machine learning
My answer to the quizz questions:
Scenario 1>>Supervised Learning
Facebook recognizes your friend’s photo from an album of photographs using labeled data (i.e., photos already tagged with names).
Scenario 2>>Reinforcement Learning
Netflix recommends new movies to you based on your past movie choices and your interactions (e.g., likes, dislikes, watches) to learn your preferences.
Scenario 3>>Supervised Learning
Analyzing back data for fraud detection involves training a model on labeled data (e.g., transactions marked as fraudulent or legitimate) to learn patterns and make predictions.
Scenario 1- Unsupervised Learning
Scenario 2- Reinforced Learning
Scenario 3- Supervised Learning