the nuts and bolts of machine learning coursera week 1 quiz answers
Test your knowledge: Introduction to machine learning
1. Fill in the blank: Machine learning involves using algorithms and _____ to teach computer systems to analyze and discover patterns in data.
- computer software
- dynamic reports
- decision-support systems
- statistical models
2. A data professional using an unsupervised machine learning technique will ask a model to provide information based on a specified outcome.
- True
- False
3. Which approach to machine learning involves rewarding or punishing a computer’s behaviors?
- Reinforcement learning
- Supervised machine learning
- Deep learning
- Artificial intelligence
Test your knowledge: Categorical versus continuous data types and models
4. The weight of a surfboard is a continuous variable, whereas the number of surfboards currently at Bondi Beach is a discrete variable.
- True
- False
5. A data professional is working on a project that involves labeling thousands of books by their various book genres. What type of variable should they use when working with this dataset?
- Categorical
- Continuous
- Discrete
- Quantitative
Test your knowledge: Machine learning in everyday life
6. What term describes the subclass of machine learning algorithms that offers relevant suggestions to users?
- Data models
- Suggestion maps
- Recommendation systems
- Sensor techniques
7. Content-based systems are very effective at making recommendations across content types.
- True
- False
8. Fill in the blank: When several users actively like or dislike content by rating it or giving it a review, this enables _____ filtering.
- crowdsourced
- merit-based
- preferential
- collaborative
Shuffle Q/A 1
Test your knowledge: Ethics in machine learning
9. In recommendation systems, what term describes the phenomenon of more well-known items being recommended too frequently?
- Fame factor
- Trend partiality
- Popularity bias
- Non-objectivity
10. A data professional has just begun considering the intended purpose of a model and how harmful or significant its effects could be. Which PACE stage of model development does this scenario describe?
- Analyze
- Execute
- Construct
- Plan