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S04 - Deep Learning

Authored by Amalia Zahra

Computers

University

Used 3+ times

S04 - Deep Learning
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14 questions

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1.

MULTIPLE SELECT QUESTION

20 sec • 1 pt

Which ones are the two commonly-used techniques in unsupervised learning?

regression

classification

clustering

dimensionality reduction

2.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Maximizing the notion of cumulative reward is the goal of which learning?

supervised learning

reinforcement learning

unsupervised learning

feature engineering

3.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Identifying the bounding box of a face in an image is an example of ...

multilabel classification

scalar regression

multiclass classification

vector regression

4.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

The type of parameters that generally change the architecture of a model is called ...

batch

parameter

hyperparameter

weight

5.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

The following strategies are holdout strategies that can be used in evaluating a model, except ...

k-fold validation

simple hold out validation

iterated k-fold validation with shuffling

stratified sampling

6.

MULTIPLE SELECT QUESTION

45 sec • 1 pt

Select the commonly-used data preprocessing steps applied in Machine Learning!

model training

feature extraction

vectorization

value normalization

7.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Replacing the missing data with estimated values using the existing variables is a handling-missing-value technique called ...

regression imputation

multiple imputation

pairwise deletion

listwise deletion

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