Machine Learning

What is Machine Learning?

• A type of hardware

• A subset of Artificial Intelligence that enables systems to learn from data

• A type of database system

• A programming language

Which of the following is NOT a type of Machine Learning?

• Supervised Learning

• Reinforcement Learning

• Unsupervised Learning

• Automated Learning

What is the primary goal of Supervised Learning?

• To find hidden patterns in data

• To make predictions based on labeled data

• To improve performance through trial and error

• To cluster data points without labels

In supervised learning, the dataset consists of

• Only input data

• Input data and corresponding output labels

• Only output data

• Randomly generated numbers

Which of the following is an example of a supervised learning problem?

• Clustering customers based on purchasing behavior

• Predicting house prices based on historical sales data

• Grouping news articles based on topics

• Finding anomalies in network traffic

What is the difference between classification and regression in supervised learning?

• Classification predicts continuous values, while regression predicts discrete labels

• Classification predicts discrete labels, while regression predicts continuous values

• Both classification and regression predict continuous values

• Both classification and regression predict discrete values

Which of the following algorithms is typically used for classification tasks?

• Linear Regression

• K-Nearest Neighbors (KNN)

• Principal Component Analysis (PCA)

• K-Means Clustering

Which of the following is NOT a supervised learning algorithm?

• Decision Trees

• K-Means Clustering

• Support Vector Machine (SVM)

• Logistic Regression

The loss function used in linear regression is:

• Mean Squared Error (MSE)

• Cross-Entropy Loss

• Hinge Loss

• 
  Log Loss

Which evaluation metric is commonly used for classification problems?

• Mean Absolute Error

• R-Squared

• Precision, Recall, and F1-score

• Mean Squared Error