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WorksheetsQuizizz-Understanding Unsupervised Learning
Total questions: 10
Worksheet time: 5mins
What is the main goal of unsupervised learning?
To predict outcomes based on labeled data
To uncover patterns and structures in unlabeled data
To fine-tune a model given labeled data
To evaluate model performance using test data
Which of the following is a common clustering algorithm?
Support Vector Machine
K-means clustering
Linear Regression
Random Forest
In anomaly detection, which of the following tasks would be an example?
Categorizing emails into spam or not spam
Detecting fraud in financial transactions
Recommending products based on user behavior
Predicting house prices based on features
Dimensionality reduction is primarily used for which of the following purposes?
To make data easier to manage and visualize
To increase the number of features in a dataset
To classify data into different categories
To evaluate model performance on labeled data
What is the primary application of association mining?
Generating new data samples
Identifying rare events in a dataset
Discovering relationships between data points
Reducing the number of features in a dataset
True or False: Generative modeling can be used to create new synthetic data that resembles the training data.
True
False
Which unsupervised learning application involves segmenting images into meaningful regions?
Topic Modeling
Clustering for Image Segmentation
Density Estimation
Association Mining
True or False: Topic modeling helps in identifying themes in large collections of text data.
True
False
Density estimation is useful for which of the following tasks?
Predicting future sales
Estimating the probability density of data
Classifying images
Clustering similar images together
What type of unsupervised learning is typically used in market basket analysis?
Clustering
Dimensionality Reduction
Association Mining
Anomaly Detection
