12 Questions
Which type of data includes named values for attributes without any numeric value, used for categorizing data into distinct groups?
Nominal Data
What distinguishes Ordinal Data from Nominal Data?
Ordinal Data lacks a 'true zero' value.
Which type of data in Machine Learning is also known as numeric data and relates to the quantity of an object?
Quantitative Data
What is a characteristic of Ratio Data that distinguishes it from Interval Data?
Ratio Data includes an absolute zero point.
What type of data includes values for attributes where the order and the exact difference between values are known but lacks a 'true zero' value?
Interval Data
'Happy,' 'Unhappy,' and 'Very Happy' represent what type of data used for customer satisfaction?
Ordinal Data
What is the primary goal of unsupervised learning?
To group similar objects together based on patterns
Which type of learning is considered more difficult to understand and implement than supervised learning?
Unsupervised learning
What are some practical applications of reinforcement learning?
Self-Driving cars
In the context of machine learning, what term is used interchangeably with 'attributes'?
Features
What does the dimensionality of a data set depend on?
The number of attributes in the data set
Which machine learning algorithm is known as the latest version of DeepMind's AI system playing Go?
AlphaGo Zero
This quiz covers the concepts of unsupervised learning, where machines find patterns in unknown objects, and reinforcement learning, where machines learn to achieve goals autonomously. Practical applications and complexities of each type of learning are explored.
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