Foundation of AI session 4

The term "Big Data" means…

• • Data as big as a jumbo meatball

• Data that comes from the Big Bang

• Data in very large and complex amounts

• Data that makes the laptop overheat

• Data so big it needs a forklift to move it

What is the correct definition of Machine Learning?

• Machine Learning is a branch of artificial intelligence that enables systems to automatically learn and improve from experience without being explicitly programmed.

• Machine Learning is the process of installing predefined rules into a computer so it can strictly follow instructions without adaptation.

• Machine Learning is a type of hardware design that allows robots to move faster using advanced motors.

• Machine Learning is only about creating simple computer programs that run without human supervision.

• Machine Learning is the physical process of building machines that can perform mechanical tasks in factories.

What is Deep Learning?

• Deep Learning is a subset of machine learning that uses artificial neural networks with multiple layers to automatically learn complex patterns from data.

• Deep Learning is a programming language used to build applications for robotics.

• Deep Learning is the process of storing large amounts of data in physical hard drives.

• Deep Learning is a type of database system designed to handle unstructured data.

• Deep Learning is a hardware technology that increases the clock speed of processors.

Predicting today’s temperature using past weather data is an example of which type of machine learning problem?

• Classification

• Clustering

• Regression

• Reinforcement Learning

• Dimensionality Reduction

Determining whether an email is spam or not spam is an example of which type of machine learning problem?

• Regression

• Clustering

• Classification

• Reinforcement Learning

• Dimensionality Reduction

Grouping customers into different market segments based on their purchasing behavior is an example of which type of machine learning problem?

• Regression

• Clustering

• Classification

• Reinforcement Learning

• Dimensionality Reduction

Which type of machine learning is used when a robot learns to walk by receiving rewards for successful steps and penalties for falling?

• Regression

• Clustering

• Classification

• Reinforcement Learning

• Dimensionality Reduction

Training a model using labeled medical images (with each image marked as “cancerous” or “not cancerous”) is an example of which type of machine learning approach?

• Unsupervised Learning

• Supervised Learning

• Reinforcement Learning

• Deep Learning

• Transfer Learning

Grouping news articles by similarity of content without having predefined categories is an example of which type of machine learning approach?

• Supervised Learning

• Unsupervised Learning

• Reinforcement Learning

• Semi-Supervised Learning

• Deep Learning

Which statement best describes the relationship between Data and Artificial Intelligence (AI)?

• AI systems rely on data to learn patterns, make decisions, and improve performance.

• AI can work completely without any data input.

• Data is only useful for storing information and has no role in AI.

• AI is a type of database system that organizes raw data.

• Collecting more data always guarantees perfect AI predictions.