Applying AI Techniques

Quiz
•
Computers
•
University
•
Hard
Rezhin Majeed
Used 3+ times
FREE Resource
15 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
20 sec • 5 pts
What is the primary goal of supervised learning?
To classify data into predefined categories without labels.
To predict future outcomes without any training data.
To learn a mapping from input features to output labels based on labeled training data.
To optimize the performance of unsupervised learning algorithms.
2.
MULTIPLE CHOICE QUESTION
20 sec • 5 pts
What distinguishes unsupervised learning from supervised learning?
Unsupervised learning requires labeled data, while supervised learning does not.
Unsupervised learning is only applicable to classification tasks.
Both unsupervised and supervised learning use labeled data equally.
Unsupervised learning does not use labeled data, while supervised learning does.
3.
MULTIPLE CHOICE QUESTION
20 sec • 5 pts
What type of machine learning technique uses labeled data?
Reinforcement learning
Unsupervised learning
Supervised learning
Semi-supervised learning
4.
MULTIPLE CHOICE QUESTION
20 sec • 5 pts
Which of the following is a common regression algorithm?
Logistic Regression
Decision Trees
Support Vector Machines
Linear Regression
5.
MULTIPLE CHOICE QUESTION
20 sec • 5 pts
What is the main purpose of semi-supervised learning?
To reduce the amount of data needed for training.
To eliminate the need for any data labeling.
To use only labeled data for training.
To enhance learning performance using both labeled and unlabeled data.
6.
MULTIPLE CHOICE QUESTION
20 sec • 5 pts
How does clustering relate to unsupervised learning?
Clustering is a method used to predict future outcomes based on past data.
Clustering is a method in unsupervised learning that groups similar data points without labeled outcomes.
Clustering is only applicable to numerical data and not categorical data.
Clustering is a supervised learning technique that requires labeled data.
7.
MULTIPLE CHOICE QUESTION
20 sec • 5 pts
Which machine learning technique is best for predicting continuous outcomes?
Classification techniques, such as decision trees.
Clustering methods, like k-means.
Dimensionality reduction techniques, such as PCA.
Regression techniques, such as linear regression.
Create a free account and access millions of resources
Similar Resources on Wayground
10 questions
Different types of Machine Learning

Quiz
•
University
10 questions
NKV Machine Learning

Quiz
•
University
20 questions
Intro to ML

Quiz
•
University
11 questions
Machine Learning Quiz

Quiz
•
University
16 questions
Machine Learning

Quiz
•
5th Grade - Professio...
15 questions
machine learning

Quiz
•
University
20 questions
DataFeud Round 1

Quiz
•
University
20 questions
Lecture TWO.

Quiz
•
University
Popular Resources on Wayground
10 questions
Lab Safety Procedures and Guidelines

Interactive video
•
6th - 10th Grade
10 questions
Nouns, nouns, nouns

Quiz
•
3rd Grade
10 questions
9/11 Experience and Reflections

Interactive video
•
10th - 12th Grade
25 questions
Multiplication Facts

Quiz
•
5th Grade
11 questions
All about me

Quiz
•
Professional Development
22 questions
Adding Integers

Quiz
•
6th Grade
15 questions
Subtracting Integers

Quiz
•
7th Grade
9 questions
Tips & Tricks

Lesson
•
6th - 8th Grade
Discover more resources for Computers
21 questions
Spanish-Speaking Countries

Quiz
•
6th Grade - University
20 questions
Levels of Measurements

Quiz
•
11th Grade - University
7 questions
Common and Proper Nouns

Interactive video
•
4th Grade - University
12 questions
Los numeros en español.

Lesson
•
6th Grade - University
7 questions
PC: Unit 1 Quiz Review

Quiz
•
11th Grade - University
7 questions
Supporting the Main Idea –Informational

Interactive video
•
4th Grade - University
12 questions
Hurricane or Tornado

Quiz
•
3rd Grade - University
7 questions
Enzymes (Updated)

Interactive video
•
11th Grade - University