Practice Machine Learning (ml) (1.2.2) - Introduction to Advanced Data Science

Practise this section

9 questions

Flashcard drill
5 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
Sign up to start the exercise
Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
Sign up to start the quiz

6 sample questions

Question 1.
What is supervised learning?
Show hintHide hint
Think about how labels help in teaching.
Question 2.
Name a common algorithm used in supervised learning.
Show hintHide hint
It’s used to predict continuous outcomes.
3Question 3.
What defines supervised learning?
- Learning from unlabelled data
- Learning from labeled data
- Learning from non-structured data
Show hintHide hint
Focus on the meaning of 'supervised'.
4Question 4.
True or False: Clustering is a type of supervised learning.
- True
- False
Show hintHide hint
Remember what clustering does.
Question 5.
A company has a dataset of customer behaviors but no categories. Describe how you would apply unsupervised learning to gain insights.
Show hintHide hint
Think about patterns in purchasing.
Question 6.
Explain how changing one feature could impact the bias-variance trade-off of an existing predictive model.
Show hintHide hint
Consider underfitting vs overfitting.

5 more questions in this section. Enroll free to practise them all.