What is machine learning?

Exploring Machine Learning Concepts

Quiz
•
Computers
•
12th Grade
•
Medium

Khalil Youssef
Used 1+ times
FREE Resource
15 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Machine learning is a method of data analysis that automates analytical model building.
Machine learning is a type of computer hardware.
Machine learning is a programming language.
Machine learning is a form of data storage.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Define supervised learning.
Supervised learning is a method that requires no data for training.
Supervised learning is a type of reinforcement learning.
Unsupervised learning uses labeled data to train models.
Supervised learning is a machine learning approach that uses labeled data to train models to predict outcomes.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is unsupervised learning?
A technique used only for classification tasks.
Unsupervised learning is a machine learning approach that identifies patterns in data without labeled outcomes.
An approach that predicts future outcomes based on past data.
A method that requires labeled data for training.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain reinforcement learning.
Reinforcement learning is a technique for clustering data points into groups.
Reinforcement learning involves training a model on static datasets without interaction.
Reinforcement learning is a learning paradigm where an agent learns to make decisions by interacting with an environment to maximize cumulative rewards.
Reinforcement learning is a method for supervised learning using labeled data.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the main steps in the ML workflow?
Algorithm Optimization
Data Visualization
1. Problem Definition, 2. Data Collection, 3. Data Preprocessing, 4. Feature Engineering, 5. Model Selection, 6. Model Training, 7. Model Evaluation, 8. Model Deployment, 9. Monitoring and Maintenance.
Data Storage
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is regression in machine learning?
Regression is a method for reducing the dimensionality of data.
Regression is a supervised learning technique used to predict continuous outcomes.
Regression is an unsupervised learning technique for clustering data.
Regression is used to classify categorical outcomes.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does classification differ from regression?
Classification predicts numerical values; regression predicts categories.
Classification is used for time series; regression is for image analysis.
Classification predicts categories; regression predicts continuous values.
Classification requires more data than regression.
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