18 Questions
What is the main goal of unsupervised learning?
To identify structures or patterns in the data
What was the outcome of using the CASEy system developed by Prolog?
A reduction in assembly times
Which type of learning operates on labeled data sets?
Supervised learning
According to Tom Mitchell's definition, what is a key characteristic of machine learning?
Learning from experience
What is regression in machine learning?
Aiming at finding real-value functions that represent mapping between input space and output space
What is a benefit of distinguishing between approaches to learning in machine learning?
Gaining a better overview of machine learning
What is an example of classification?
Labeling e-mail messages as spam
What is NOT a key aspect of machine learning?
Following proper operational procedures
What is the primary focus of machine learning research?
Pattern recognition
What is clustering in machine learning?
Grouping data points with high similarity
What is the term for the process of improving performance at tasks through data analysis?
Machine learning
What is the primary goal of dimensionality reduction techniques?
To reduce the number of features in a dataset
What is a visual representation of multi-decision processes called?
Decision Tree
What was the first notable application of expert systems?
Identifying organic molecules
What was the name of the expert system that helped with medical diagnoses of infectious diseases?
MYCIN
When did expert systems reach the height of research interest?
1980s
What was the main achievement of expert systems?
Pioneering the idea of a formal, yet accessible representation of knowledge
Who is credited with defining the term 'expert system' and building the first practical examples?
Edward Feigenbaum
Learn about the basics of machine learning, including supervised learning, and how it operates on labeled data sets to predict outputs. Discover how tasks can be described using given examples to identify mapping between feature values and outputs.
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