AI khoá 1 tuần 1

Which of these terms best describes the type of AI used in today’s email spam filters, speech recognition, and other specific applications?

• Artificial General Intelligence (AGI)

• Artificial Narrow Intelligence (ANI)

What do you call the commonly used AI technology for learning input (A) to output (B) mappings?

• Supervised learning

• Artificial General Intelligence

• Unsupervised learning

• Reinforcement learning

You want to use supervised learning to build a speech recognition system. The figure above suggests that in order for a neural network (deep learning) to achieve the best performance, you would ideally use: (Select all that apply)

• A large dataset (of audio files and the corresponding text transcript)

• A small dataset (of audio files and the corresponding text transcript)

• A large neural network

• A small neural network

The only way to acquire data for a supervised learning algorithm is to manually label it. I.e., given the input A, to ask a human to provide B.

• True

• False

Which of these statements regarding data acquisition do you agree with?

• It doesn’t help to give data to an AI team, because they can always produce whatever they need by themselves.

• Only structured data is valuable; AI cannot process unstructured data.

• Some types of data are more valuable than others; working with an AI team can help you figure out what data to acquire.

• It doesn’t matter how data is acquired. The more data, the better.

You run a company that manufactures scooters. Which of the following are examples of unstructured data? (Select all that apply.)

• The maximum speed of each of your scooters

• Pictures of your scooters

• The number of scooters sold per week over the past year

• Audio files of the engine sound of your scooters

Suppose you run a website that sells cat food. Which of these might be a good result from a data science project? (Select all that apply.)

• A neural network that closely mimics how cats’ brains work.

• Insights into how to market cat food more effectively, depending on the breed of cat.

• A large dataset of images labeled as “Cat” and “Not Cat”

• A slide deck presenting a plan on how to modify pricing in order to improve sales.

Based on the terminology defined in Lesson 4 “The terminology of AI”, which of the following statements do you agree with? (Select all that apply.)

• Deep learning is a type of machine learning. (I.e., all deep learning algorithms are machine learning algorithms.)

• AI is a type of deep learning. (I.e., All AI algorithms are deep learning algorithms.)

• The terms “machine learning” and “data science” are used almost interchangeably.

• The terms “deep learning” and “neural network” are used almost interchangeably.

Which of these do AI companies do well?

• Strategic data acquisition

• Invest in unified data warehouses

• Spot automation opportunities

• All of the above

Say you want to input a picture of a person’s face (A), and output whether or not they are smiling (B). Because this is a task that most humans can do in less than 1 second, supervised learning can probably learn this A-to-B mapping.

• True

• False