A. Decision Trees
B. K-means clustering
C. Apriori algorithm
D. PCA

A. Cleaning and transforming raw data
B. Visualizing data
C. Storing data
D. Encrypting data

A. By creating interactive environments
B. By tracking user movements
C. By personalizing content
D. All of the above

A. Content-based filtering
B. Reinforcement learning
C. Predictive maintenance
D. Natural language processing

A. To generate articles and stories
B. To create visual art
C. To compose music
D. All of the above

A. Collaborative filtering
B. Natural Language Processing
C. Computer Vision
D. Reinforcement Learning

A. To create realistic character behaviors
B. To generate game content
C. To design game levels
D. All of the above

A. To answer student queries instantly
B. To deliver lectures
C. To grade assignments
D. To manage classroom attendance

A. Predictive analytics
B. Natural language processing
C. Reinforcement learning
D. Robotics

A. Automated grading
B. Personalized tutoring
C. Predictive analytics
D. Computer vision

A. By adapting content to individual student needs
B. By grading assignments automatically
C. By providing virtual tutoring
D. All of the above

A. PyTorch
B. TensorFlow
C. Keras
D. Caffe

A. Computer vision
B. Natural language processing
C. Data analysis
D. Web development

A. TensorFlow
B. PyTorch
C. Caffe
D. Theano

A. Deep learning
B. Data visualization
C. Web development
D. Natural language processing