- Supervised Learning
- Classification
- Regression
- Time Series Forecasting
- Unsupervised Learning
- Clustering
- K-Means Clustering
- Hierarchical Clustering
- Semi-Supervised Learning
- Reinforcement Learning(ML)
- Deep Learning(ML)
- Transfer Learning(ML)
- Ensemble Learning
- Explainable AI (XAI)
- Bayesian Learning
- Decision Trees
- Support Vector Machines (SVMs)
- Instance-Based Learning
- Rule-Based Learning
- Neural Networks
- Evolutionary Algorithms
- Meta-Learning
- Multi-Task Learning
- Metric Learning
- Few-Shot Learning
- Adversarial Learning
- Data Pre Processing
- Natural Language Processing(ML)
Unsupervised Learning QUIZ QUESTIONS
Question: 1
What is the primary difference between supervised and unsupervised learning?
Question: 2
What is the purpose of dimensionality reduction in unsupervised learning?
Question: 3
Which of the following is a common application of unsupervised learning?
Question: 4
What is the primary goal of clustering algorithms in unsupervised learning?
Question: 5
Which of the following is an example of a dimensionality reduction technique in unsupervised learning?
Question: 6
What is a common challenge in unsupervised learning?
Question: 7
Which of the following is a density-based clustering algorithm?
Question: 8
What is the primary advantage of hierarchical clustering over other clustering methods?
Question: 9
Which of the following unsupervised learning algorithms is based on the idea of transforming the data into a lower-dimensional space while preserving the pairwise distances between data points?
Question: 10
What is the primary goal of autoencoders in unsupervised learning?
Question: 11
Which of the following is an example of a clustering evaluation metric?
Question: 12
In unsupervised learning, what is the purpose of using the elbow method?
Question: 13
What is the primary difference between top-down and bottom-up hierarchical clustering?
Question: 14
Which of the following unsupervised learning algorithms is suitable for finding non-linear structures in the data?
Question: 15
What is a common application of autoencoders in unsupervised learning?
Question: 16
Which of the following unsupervised learning algorithms can be used for both clustering and dimensionality reduction?
Question: 17
What is the primary advantage of using Gaussian mixture models (GMMs) for clustering over other clustering algorithms?
Question: 18
What is the primary goal of outlier detection algorithms in unsupervised learning?
Question: 19
Which of the following is a common application of dimensionality reduction techniques in unsupervised learning?
Question: 20
In the context of unsupervised learning, what is a "topic model"?
Question: 21
Which of the following unsupervised learning algorithms is most suitable for finding clusters with arbitrary shapes?
Question: 22
Which of the following is an example of a manifold learning technique in unsupervised learning?
Question: 23
What is a common challenge when applying clustering algorithms to high-dimensional data?
Question: 24
What is the primary goal of feature selection in unsupervised learning?
Question: 25
Which of the following is a similarity measure commonly used in unsupervised learning?
Question: 26
Which of the following clustering algorithms is most sensitive to the initial placement of cluster centroids?
Question: 27
In the context of unsupervised learning, what is "semi-supervised learning"?
Question: 28
What is a common application of clustering algorithms in unsupervised learning?
Question: 29
What is the primary goal of unsupervised learning?
Question: 30
Which of the following is an example of an unsupervised learning algorithm?