AI/ML 1

What is AI?

• A type of technology that allows computers to learn from data and make decisions based on that data

• A type of technology that allows humans to learn from data and make decisions based on that data.

• A type of technology that allows animals to learn from data and make decisions based on that data.

• A type of technology that allows plants to learn from data and make decisions based on that data.

What is ML?

• A type of technology that involves training computers to learn on their own, without being explicitly programmed for each task.

• A type of technology that involves training humans to learn on their own, without being explicitly programmed for each task.

• A type of technology that involves training animals to learn on their own, without being explicitly programmed for each task.

• A type of technology that involves training plants to learn on their own, without being explicitly programmed for each task.

Which of the following is an example of a virtual assistant that uses AI/ML?

• Tesla

• Google Maps

• Siri

• Netflix

What does Google Maps use AI/ML for?

• To power its self-driving features.

• To provide information about nearby places to eat, shop, or visit.

• To provide information about upcoming sports events.

• To provide real-time traffic updates and suggest the fastest route to our destination.

What does Tesla use AI/ML for?

• To provide real-time traffic updates and suggest the fastest route to our destination.

• To power its self-driving features.

• To provide information about nearby places to eat, shop, or visit.

• None of these

What is an algorithm?

• A set of rules that the computer follows to make decisions or predictions.

• A type of neural network.

• A type of data processing.

• The process of processing and organizing data into a format that the computer can understand.

What is data preprocessing?

• The process of labeling data with known outcomes.

• The process of making predictions or decisions based on data.

• A set of rules that the computer follows to make decisions or predictions.

• The process of processing and organizing data into a format that the computer can understand.

What are neural networks?

• A type of labeled data.

• Algorithms that are modeled after the human brain.

• A type of data processing.

• The process of making predictions or decisions based on data.

What is training in AI/ML?

• Making predictions or decisions based on new data.

• Giving the computer labeled data and adjusting its algorithms or neural networks to match the patterns in the data.

• The process of processing and organizing data into a format that the computer can

• Algorithms that are modeled after the human brain.

What is the final output of a neural network?

• The output of each neuron in the network.

• The input of each neuron in the network.

• Giving the computer labeled data and adjusting its algorithms or neural networks to match the patterns in the data.

• The output of the final layer in the network.