Machine Learning Concepts and Applications

What is the primary goal of machine learning?

• To store and organize large amounts of data.

• To allow computers to learn from data and make predictions.

• To create websites for online shopping.

• To manage health records for doctors.

How does machine learning relate to artificial intelligence (AI)?

• Machine learning is a set of techniques that sits inside the goal of artificial intelligence.

• Artificial intelligence is a set of techniques that sits inside the goal of machine learning.

• They are two completely separate fields with no overlap.

• Machine learning is only for simple tasks, while AI handles complex ones.

In machine learning, what are "features" used for?

• To create complex computer programs.

• To store raw data like photos and sounds.

• To characterize objects or phenomena for classification.

• To display data on a scatter plot.

What is "labeled data" primarily used for in machine learning?

• To visualize data in a scatter plot.

• To train a machine learning classifier to make good predictions.

• To identify unknown species of moths.

• To create decision boundaries by hand.

What is the primary function of neurons, both biological and artificial?

• To store large amounts of data.

• To process inputs and transmit signals.

• To generate electrical power for devices.

• To physically connect different parts of a system.

What are the three main steps an artificial neuron performs to process inputs before applying an activation function?

• Storing, retrieving, and deleting data.

• Multiplying by weights, summing inputs, and applying bias.

• Generating, transmitting, and receiving signals.

• Analyzing, categorizing, and displaying information.

What term describes artificial intelligence that is intelligent only for specific tasks, like finding faces or translating languages?

• Strong AI

• General AI

• Weak AI

• Super AI

How did Google's AlphaGo become skilled enough to beat human players in the game Go?

• It was programmed with every possible game strategy.

• It learned by playing clones of itself millions of times through trial and error.

• It downloaded all human Go matches from the internet.

• It was directly taught by the best human Go players.