General Terms

Question 1

Impution

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Question 2

Permutation

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Question 3

hyperparameter

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Question 4

feature/data scaling

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Question 5

scaler

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Question 6

multi-class classification

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Question 7

binary classification

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Question 8

parameter sweep

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Question 9

training loss, validation loss, training accuracy, and validation accuracy

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Question 10

clustering

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Question 11

centroids

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Question 12

overfitting

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Question 13

data imbalance

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Question 14

feature extraction
feature selection
feature reduction

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Question 15

cost factor

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Question 16

stopping criteria

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Question 17

sampling strategy

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Question 18

Model fit

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Question 19

model training

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Question 20

testing

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Question 21

Data visualization

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Question 22

evaluation strategy

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Question 23

modeling strategy

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Question 24

batch inferencing

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Question 25

data movement

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Question 26

dataset

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Question 27

Task Types - Classification

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Question 28

data drift

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Question 29

confusion matrix

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Question 30

model explainer

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Question 31

Azure Machine Learning Hyperdrive

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Question 32

Estimator

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Question 33

workspace

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Question 34

experiment

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Question 35

pipeline

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Question 36

entry script

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Question 37

scoring script

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