FUNDAMENTALS OF ARTIFICIAL INTELLIGENCE

Which of the following is a supervised learning algorithm?

• Clustering

• Dimensionality Reduction

• Regression

• Q-learning

What is the primary goal of classification in supervised learning?

• Predicting continuous values

• Grouping similar data points

• Assigning data points to categories

• Reducing the number of features

Which algorithm is used for finding optimal hyperplanes to separate data points?

• Naive Bayes

• Support Vector Machines (SVM)

• K-Means

• Principal Component Analysis (PCA)

Which type of learning uses unlabeled data?

• Supervised learning

• Reinforcement learning

• Unsupervised learning

• All of the above

What is the process of grouping similar data points called?

• Regression

• Classification

• Clustering

• Dimensionality Reduction

Which technique is used to reduce the number of features in a dataset?

• Clustering

• Regression

• Dimensionality Reduction

• Q-learning

Which learning paradigm involves an agent interacting with an environment?

• Supervised learning

• Unsupervised learning

• Reinforcement learning

• All of the above

What is the framework for decision-making in environments with random outcomes?

• Q-learning

• Markov Decision Processes (MDPs)

• Support Vector Machines (SVM)

• Neural Networks

Which algorithm learns optimal policies by estimating Q-values?

• K-Means

• Q-learning

• Linear Regression

• Decision Trees

What is a robotics application that involves identifying and categorizing objects?

• Motion Planning

• Object Recognition

• Clustering

• Regression