AI Basics
What does AI stand for?
Artificial Intelligence
What type of machine learning uses labeled data?
Supervised learning
What is training data?
Data used to teach a machine learning model
What does regression predict?
a numerical value
What is a matrix?
A rectangular array of numbers
What is the main goal of AI?
To make machines perform tasks that normally require human intelligence
What type of machine learning finds patterns without labeled data?
Unsupervised Learning
What does bias in data mean?
When data unfairly represents certain groups or outcomes
Deciding whether an email is spam or not spam.
What is a classification problem?
What do rows and columns represent in a matrix?
Data points and Features
What is the difference between AI and machine learning?
Machine learning is a subset of AI that allows systems to learn from data instead of being explicitly programmed
What is Reinforcement learning?
Machine learns through rewards and punishment
What is dynamic pricing?
Prices that change based on conditions
The difference between a predicted value and the actual value.
What is error?
Why are matrices useful in machine learning?
They organize data efficiently
What term describes an AI system built to perform only one specific task?
Narrow or Weak AI
What type of learning is commonly used for recommendation systems?
Supervised learning
What does a API do?
Have two programs that talk to each other
Why might a regression model give poor predictions?
Poor data quality or incorrect assumptions
What are the three key components that make a data set?
Labels, Samples, and Features
What is the difference between strong AI and weak AI?
Weak AI performs specific tasks; strong AI would have human-level intelligence and understanding
Why is supervised learning easier to evaluate than unsupervised learning?
Because correct answers (labels) are already known
Describe a validation set.
Validation set is were 80% of the data is fed to the AI to be trained and 20% is set aside to be checked to see how well the model is doing during training
What type of output does a classification model produce?
Labels or categories
These are the three main parts of a neural network.
What are the input layer, hidden layers, and output layer?