LinkedIn Machine Learning

Machine Learning linkedin quiz

How is machine learning related to artificial intelligence?

•  Artificial intelligence focuses on classification, while machine learning is about clustering data.
•  Machine learning is a type of artificial intelligence that relies on learning through data.
•  Artificial intelligence is form of unsupervised machine learning.
•  Machine learning and artificial intelligence are the same thing.

Machine Learning skill assessment linkedin

How do machine learning algorithms make more precise predictions?

•  The algorithms are typically run more powerful servers.
•  The algorithms are better at seeing patterns in the data.
•  Machine learning servers can host larger databases.
•  The algorithms can run on unstructured data.

Machine Learning linkedin assessment questions

You work for an insurance company. Which machine learning project would add the most value for the company!

•  Create an artificial neural network that would host the company directory.
•  Use machine learning to better predict risk.
•  Create an algorithm that consolidates all of your Excel spreadsheets into one data lake.
•  Use machine learning and big data to research salary requirements.

linkedin Machine Learning assessment

What is one reason not to use the same data for both your training set and your testing set?

•  You will almost certainly underfit the model.
•  You will pick the wrong algorithm.
•  You might not have enough data for both.
•  You will almost certainly overfit the model.

linkedin Machine Learning test

Your university wants to use machine learning algorithms to help sort through incoming student applications. An administrator asks if the admissions decisions might be biased against any particular group, such as women. What would be the best answer?

•  Machine learning algorithms are based on math and statistics, and so by definition will be unbiased.
•  There is no way to identify bias in the data.
•  Machine learning algorithms are powerful enough to eliminate bias from the data.
•  All human-created data is biased, and data scientists need to account for that.

Machine Learning linkedin assessment

Machine Learning linkedin test

Machine Learning linkedin background