Machine Learning System — Questions and answers
Read the full story
What was the main problem with computers before machine learning?
Choices
- They were too slow at doing calculations.
- They couldn't learn new things or recognize patterns easily. ✓
- They often made mistakes when following instructions.
- They were only useful for playing simple games.
Answer: They couldn't learn new things or recognize patterns easily.
From page 1
What was Arthur Samuel's new idea for his checkers program?
Choices
- To program every single move the computer could make.
- To teach the computer to learn by playing games against itself. ✓
- To make the computer always win every game right away.
- To have a human tell the computer every move to make.
Answer: To teach the computer to learn by playing games against itself.
From page 3
How did Arthur Samuel's checkers program get better at playing?
Choices
- By humans writing new rules for it every day.
- By reading many books about how to play checkers.
- By changing its 'weights' based on if it won or lost games. ✓
- By making its computer parts stronger and faster.
Answer: By changing its 'weights' based on if it won or lost games.
From page 4
What was the main purpose of Frank Rosenblatt's Perceptron?
Choices
- To help people learn about how brains work.
- To teach a computer how to recognize and sort patterns. ✓
- To play complex games better than humans.
- To make computers run faster.
Answer: To teach a computer how to recognize and sort patterns.
From page 5
What was a big challenge for early learning machines that required a lot of human work?
Choices
- Making the computers physically bigger.
- Humans having to carefully pick out and prepare the important parts of the data. ✓
- Getting the machines to turn on in the morning.
- Teaching the computers to talk to each other.
Answer: Humans having to carefully pick out and prepare the important parts of the data.
From page 7
What is one way machine learning has helped industries?
Choices
- It made all computers much slower.
- It helped businesses understand huge amounts of data and automate hard jobs. ✓
- It made it impossible to build smart cities.
- It only allowed for playing video games.
Answer: It helped businesses understand huge amounts of data and automate hard jobs.
From page 9
What is an important thing to think about as machine learning grows, according to the page?
Choices
- Whether computers will become smarter than humans.
- Making sure machine learning is fair and we can understand how it works. ✓
- If machine learning can help us win more games.
- How to make machine learning programs even faster.
Answer: Making sure machine learning is fair and we can understand how it works.
From page 10