Machine Learning Basics

What is machine learning?

• The process of humans learning from past experiences

• The process of machines following instructions given by humans

• The process of training machines to learn from past data and make predictions

• The process of understanding and reasoning in machines

How does machine learning help in classifying songs for Paul?

• By analyzing the genre and gender of voice in the songs

• By considering the tempo and intensity of the songs

• By predicting Paul's preferences based on past choices

• By using a basic machine learning algorithm

What is the name of the basic machine learning algorithm used in the example?

• K-means clustering

• Decision tree

• K-nearest neighbors

• Linear regression

What is supervised learning?

• Learning from labeled data

• Learning from unlabeled data

• Learning based on rewards and feedback

• Learning by identifying patterns in data

Which scenario represents supervised learning?

• Facebook recognizing a friend in a picture

• Netflix recommending movies based on past choices

• Analyzing bank data for suspicious transactions

• None of the above

What is unsupervised learning?

• Learning from labeled data

• Learning from unlabeled data

• Learning based on rewards and feedback

• Learning by identifying patterns in data

Which scenario represents unsupervised learning?

• Facebook recognizing a friend in a picture

• Netflix recommending movies based on past choices

• Analyzing bank data for suspicious transactions

• None of the above

What is reinforcement learning?

• Learning from labeled data

• Learning from unlabeled data

• Learning based on rewards and feedback

• Learning by identifying patterns in data

How does Uber use machine learning?

• To predict customer churn in the e-commerce sector

• To analyze bank data for suspicious transactions

• To recommend new movies on Netflix

• To implement surge pricing based on demand

What is the key factor enabling machine learning in today's era?

• Availability of huge amounts of data

• Advancements in computer memory handling capabilities

• Increased computational powers of computers

• All of the above