Question

what is the main goal of artificial intelligence (ai)? to create complex computer games to enable machines to perform tasks that traditionally require human intelligence to replace human workers to analyze data without purpose which type of machine learning requires labeled data for training? reinforcement learning supervised learning unsupervised learning none of the above in which type of learning does the model learn patterns from data without prior labels?

Explanation:

1. Artificial intelligence aims to make machines perform tasks that usually need human intelligence. Creating complex computer - games is a possible application but not the main goal. Replacing human workers is an extreme view and not the core goal. Analyzing data without purpose is not the main goal.
2. In supervised learning, the model is trained on labeled data where the correct output is known for each input. Reinforcement learning is based on rewards and penalties. Unsupervised learning works with unlabeled data.

Answer:

1. To enable machines to perform tasks that traditionally require human intelligence
2. Supervised Learning