Podcast
Questions and Answers
What is the primary goal of unsupervised learning?
What is the primary goal of unsupervised learning?
- To correct errors in labeled data.
- To predict a specific outcome.
- To classify data into predefined categories.
- To find patterns and structures in data. (correct)
Which of the following machine learning tasks is considered supervised learning?
Which of the following machine learning tasks is considered supervised learning?
- Association Rule Learning
- Dimensionality Reduction
- Regression (correct)
- Clustering
What type of data is typically used in unsupervised learning?
What type of data is typically used in unsupervised learning?
- Labeled data
- Categorical data
- Unlabeled data (correct)
- Sequential data
Which of these algorithms is commonly used for dimensionality reduction?
Which of these algorithms is commonly used for dimensionality reduction?
What is the purpose of clustering?
What is the purpose of clustering?
Which of the following is an example of a clustering algorithm?
Which of the following is an example of a clustering algorithm?
What is the goal of association rule learning?
What is the goal of association rule learning?
Which of these algorithms can be used for association rule learning?
Which of these algorithms can be used for association rule learning?
In the context of unsupervised learning, what does 'dimensionality reduction' aim to do?
In the context of unsupervised learning, what does 'dimensionality reduction' aim to do?
What is a common application of clustering?
What is a common application of clustering?
Which of the following is a key benefit of using unsupervised learning?
Which of the following is a key benefit of using unsupervised learning?
What is the first step in the K-Means clustering algorithm?
What is the first step in the K-Means clustering algorithm?
In association rule mining, what does 'support' measure?
In association rule mining, what does 'support' measure?
Which of the following is a common application of dimensionality reduction?
Which of the following is a common application of dimensionality reduction?
What type of problems is Principal Component Analysis (PCA) primarily used for?
What type of problems is Principal Component Analysis (PCA) primarily used for?
Which unsupervised learning technique is used to find relationships between items in a dataset?
Which unsupervised learning technique is used to find relationships between items in a dataset?
What is the purpose of the 'elbow method' in K-Means clustering?
What is the purpose of the 'elbow method' in K-Means clustering?
What does a high 'confidence' score indicate in association rule learning?
What does a high 'confidence' score indicate in association rule learning?
Which of the following is a typical application of association rule learning?
Which of the following is a typical application of association rule learning?
In dimensionality reduction, what is the primary goal when choosing which features to keep?
In dimensionality reduction, what is the primary goal when choosing which features to keep?
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