COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Face recognition
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Speech Recognition
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Netflix and YouTube recommendations
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All of them
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Detailed explanation-1: -Is Netflix recommendation supervised or unsupervised? Netflix recommendation engine is a supervised quality control algorithm.
Detailed explanation-2: -What is the Netflix recommendation system? In essence, it’s a set of algorithms using machine learning to analyze user data and movie ratings. To make it more effective, Netflix has set up 1, 300 recommendation clusters based on users viewing preferences.
Detailed explanation-3: -One practical example of supervised learning problems is predicting house prices. How is this achieved? First, we need data about the houses: square footage, number of rooms, features, whether a house has a garden or not, and so on. We then need to know the prices of these houses, i.e. the corresponding labels.
Detailed explanation-4: -It’s called the Netflix Recommendation Algorithm, NRE for short. This software is a key player in Netflix’s success. The NRE is composed of multiple algorithms that filter content based on a user’s profile.