Expert system, Supervised and Unsupervised Learning

What is the primary goal of supervised learning?

• To discover hidden patterns in data

• To map input data to the correct output label

• To generate new data similar to the training data

• To reduce the number of input features

Which of the following is NOT a common supervised learning algorithm?

• Linear Regression

• K-means Clustering

• Decision Trees

• Support Vector Machines

What is the purpose of the training phase in supervised learning?

• To evaluate the model's performance

• To deploy the model into production

• To optimize the model's parameters

• To extract features from the data

Which metric is commonly used to evaluate supervised learning models?

• Silhouette Score

• F1 Score

• Reconstruction Error

• Clustering Coefficient

What is a key requirement for supervised learning algorithms?

• Noisy data

• Unlabeled data

• High-dimensional data

• Labeled data

Which application uses supervised learning for classifying emails?

• Image Classification

• Anomaly Detection

• Topic Modeling

• Spam Email Detection

What is the main task of unsupervised learning?

• To classify data into predefined categories

• To predict outcomes based on labeled data

• To identify patterns without labeled outcomes

• To optimize model parameters

Which technique is commonly used for dimensionality reduction?

• K-means Clustering

• Principal Component Analysis (PCA)

• Logistic Regression

• Support Vector Machines

What is the purpose of clustering in unsupervised learning?

• To predict future outcomes

• To evaluate model performance

• To group similar data points together

• To extract features from data

Which of the following is an application of unsupervised learning?

• Handwritten Digit Recognition

• Anomaly Detection

• Credit Risk Assessment

• Medical Diagnosis