LinkedIn Machine Learning Exam Answers 2024
Machine Learning
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Linkedin Machine Learning test
You work in a data science team that wants to improve the accuracy of its K-nearest neighbor result by running on top of a naive Bayes result. What is this an example of?
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regression
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boosting
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bagging
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stacking
Linkedin Machine Learning assessment
____looks at the relationship between predictors and your outcome.
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Regression analysis
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K-means clustering
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Big data
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Unsupervised learning
Machine Learning linkedin assessment questions
What is an example of a commercial application for a machine learning system?
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a data entry system
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a data warehouse system
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a massive data repository
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a product recommendation system
Machine Learning linkedin test
To predict a quantity value. use ____.
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regression
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clustering
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classification
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dimensionality reduction
Machine Learning linkedin quiz
Why is naive Bayes called naive?
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It naively assumes that you will have no data.
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It does not even try to create accurate predictions.
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It naively assumes that the predictors are independent from one another.
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It naively assumes that all the predictors depend on one another.
Machine Learning Linkedin assessment
Machine Learning Linkedin background
Machine Learning skill assessment Linkedin