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LinkedIn Machine Learning Skill Assessment

LinkedIn  Machine Learning Exam Type: LinkedIn Test Answers
Expected positions: Top 5%, Top 15%, Top 30%
Last Updated: December 2021

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LinkedIn Machine Learning Exam Answers 2021

Machine Learning

If you are having practical knowledge regarding machine learning then it adds more responsibility to you. Being a Machine learning engineer, you need to demonstrate skills in how to implement algorithms to find the matching patterns in a huge amount of data and artificial intelligence.
 
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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?

  • regression
  • boosting
  • bagging
  • stacking

Linkedin Machine Learning assessment

____looks at the relationship between predictors and your outcome.

  • Regression analysis
  • K-means clustering
  • Big data
  • Unsupervised learning

Machine Learning linkedin assessment questions

What is an example of a commercial application for a machine learning system?

  • a data entry system
  • a data warehouse system
  • a massive data repository
  • a product recommendation system

Machine Learning linkedin test

To predict a quantity value. use ____.

  •  regression
  •  clustering
  •  classification
  •  dimensionality reduction

Machine Learning linkedin quiz

Why is naive Bayes called naive?

  •  It naively assumes that you will have no data.
  •  It does not even try to create accurate predictions.
  •  It naively assumes that the predictors are independent from one another.
  •  It naively assumes that all the predictors depend on one another.

Machine Learning Linkedin assessment

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Machine Learning skill assessment Linkedin

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