AI, Machine Learning, & Teachable Machine

What is the science of training machines to perform human tasks?

• Virtual Reality

• Robotics

• Blockchain

• Artificial Intelligence

Which of the following is a specific subset of AI that trains a machine how to learn?

• Deep Learning

• Neural Networks

• Machine Learning

• Natural Language Processing

What is the method behind how machines learn from data?

• Data Analysis

• Predictive Modeling

• Algorithmic Processing

• Machine Learning

What does AI stand for?

• Automated Inference

• Artificial Intelligence

• Automated Interpretation

• Advanced Integration

What is the concept that a computer can mimic human abilities?

• Virtual Reality

• Machine Learning

• Artificial Intelligence

• Blockchain

Main difference between AI and ML?

• AI trains machines for human tasks, while ML trains machines how to learn.

• AI and ML are the same.

• AI mimics human abilities, while ML solves problems based on data.

• I uses algorithms, while ML uses speech interfaces.

Purpose of machine learning models?

• Create human-like properties in machines.

• Develop algorithms to solve problems.

• Look for patterns in data and draw conclusions.

• Program computers explicitly.

Example of AI in the medical field?

• Developing self-driving cars.

• Scanning and detecting tumors.

• Collecting data from IoT devices.

• Reading stock market numbers.

Why do AI and ML need large volumes of data?

• To understand the environment.

• To train algorithms and improve accuracy.

• To emulate human abilities.

• To solve problems based on data.

Main message of the video?

• AI and ML are confusing concepts.

• Machines can perform human tasks through AI.

• Algorithms can solve problems based on data.

• AI and ML can solve various problems.