Machine Learning & Deep Learning Quiz

Machine Learning & Deep Learning Quiz

University

50 Qs

quiz-placeholder

Similar activities

Teknik Mesin - UTS Statistik dan Probabilitas (Teori)

Teknik Mesin - UTS Statistik dan Probabilitas (Teori)

1st Grade - University

50 Qs

UTS Hakikat Ilmu Sains dan Metode Ilmiah 7A

UTS Hakikat Ilmu Sains dan Metode Ilmiah 7A

7th Grade - University

50 Qs

Scientific Method  TEST TAPREP 7th make-up

Scientific Method TEST TAPREP 7th make-up

University

50 Qs

Soal UAS EBC A/B/C

Soal UAS EBC A/B/C

University

50 Qs

26 SOAL PSAS BAHASA INDONESIA KELAS XI

26 SOAL PSAS BAHASA INDONESIA KELAS XI

11th Grade - University

50 Qs

Machine Learning and AI

Machine Learning and AI

University

52 Qs

BSCS 4-3: Elective 3 (Machine Learning) Midterm Exam - 5-18-2024

BSCS 4-3: Elective 3 (Machine Learning) Midterm Exam - 5-18-2024

University

50 Qs

Introduction to Statistics

Introduction to Statistics

University - Professional Development

50 Qs

Machine Learning & Deep Learning Quiz

Machine Learning & Deep Learning Quiz

Assessment

Quiz

Science

University

Hard

Created by

KARTHIK NAMA

Used 2+ times

FREE Resource

50 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a type of dataset used in Machine Learning?

Training dataset

Temporary dataset

Background dataset

Random dataset

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Continuous data refers to:

Data that can only take fixed categories

Data measured on an infinite scale

Data with labels

Data without labels

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is labeled data?

Collection of tweets without sentiment tags

Images tagged as “cat” or “dog”

Audio recordings with no labels

Random survey responses

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

The main purpose of a test dataset is to:

Train the model

Validate the hyperparameters

Evaluate model performance

Store unused data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

A flowchart for Machine Learning usually begins with:

Model evaluation

Data collection

Feature engineering

Hyperparameter tuning

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Supervised learning requires:

Only unlabeled data

Partially labeled data

Fully labeled data

Randomized data

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

An example of unsupervised learning is:

Linear regression

K-means clustering

Decision trees

Logistic regression

Create a free account and access millions of resources

Create resources
Host any resource
Get auto-graded reports
or continue with
Microsoft
Apple
Others
By signing up, you agree to our Terms of Service & Privacy Policy
Already have an account?