Machine Learning
Machine Learning (ML) is a part of AI
where computers learn from data.
Instead of being programmed for every
task, machines can "learn" from data
and improve over time. ML involves
creating models that help the computer
predict or decide something based on
past data.
There are many ways computers can
learn from data.
For example:
● Supervised Learning:The computer is given examples with correct answers and
learns to predict the answers for new examples.
● Unsupervised Learning: The computer looks for patterns in data without being
given the answers.
, Deep Learning
Deep Learning is a special kind of
machine learning where computers use
"neural networks," which are designed to
work like our brains. These networks are
made up of many layers that help the
machine recognize patterns in large
amounts of data. It’s used for complex
tasks like understanding speech,
recognizing images, and translating
languages.
What is AI?
1. What does AI stand for?
○ A) Artificial Intelligence
○ B) Automatic Intelligence
○ C) Artificial Information
○ D) Algorithmic Intelligence
Answer: A) Artificial Intelligence
2. Which of the following is an example of AI?
○ A) A manual calculator
○ B) A self-driving car
○ C) A traditional microwave oven
○ D) A pencil sharpener
Answer: B) A self-driving car
3. Which of the following best describes the purpose of AI?
○ A) To make machines look like humans
○ B) To help machines think and act like humans
○ C) To create robots for the workplace
○ D) To store large amounts of data
Answer: B) To help machines think and act like humans
Machine Learning (ML) is a part of AI
where computers learn from data.
Instead of being programmed for every
task, machines can "learn" from data
and improve over time. ML involves
creating models that help the computer
predict or decide something based on
past data.
There are many ways computers can
learn from data.
For example:
● Supervised Learning:The computer is given examples with correct answers and
learns to predict the answers for new examples.
● Unsupervised Learning: The computer looks for patterns in data without being
given the answers.
, Deep Learning
Deep Learning is a special kind of
machine learning where computers use
"neural networks," which are designed to
work like our brains. These networks are
made up of many layers that help the
machine recognize patterns in large
amounts of data. It’s used for complex
tasks like understanding speech,
recognizing images, and translating
languages.
What is AI?
1. What does AI stand for?
○ A) Artificial Intelligence
○ B) Automatic Intelligence
○ C) Artificial Information
○ D) Algorithmic Intelligence
Answer: A) Artificial Intelligence
2. Which of the following is an example of AI?
○ A) A manual calculator
○ B) A self-driving car
○ C) A traditional microwave oven
○ D) A pencil sharpener
Answer: B) A self-driving car
3. Which of the following best describes the purpose of AI?
○ A) To make machines look like humans
○ B) To help machines think and act like humans
○ C) To create robots for the workplace
○ D) To store large amounts of data
Answer: B) To help machines think and act like humans
