mla1

Question 1

ML is a research field at the intersection of _________, artificial intelligence, and computer science.

Answer 1

statistics

Question 2

Temperature range is a sample of:
Group of answer choices

Continuous data

Discrete data

Answer 2

Continuous data

Question 3

Sorting out missing data is a data cleansing technique.
Group of answer choices

True

False

Answer 3

TRUE

Question 4

Choose all the most popular Python Libraries that are used in data science.
Group of answer choices

ANACONDA

NUMPY

JUPYTER

PANDAS

SCIPY

SQL

Answer 4

NUMPY
PANDAS
SCIPY

Question 5

In EDA, this process identifies unusual data points. __________

Answer 5

outlier detection

Question 6

Reducing noise in data is a feature engineering technique.
Group of answer choices

True

False

Answer 6

FALSE

Question 7

Dataset is divided into _______ set and test set.

Answer 7

training

Question 8

A continuous data is:
Group of answer choices

Qualitative

Quantitative

Answer 8

Quantitative

Question 9

Movie ratings, Military rank are samples of:
Group of answer choices

Continuous data

Ordinal data

Discrete data

Nominal data

Answer 9

Nominal Data

Question 10

A nominal data is:
Group of answer choices

Qualitative

Quantitative

Answer 10

Qualitative

Question 11

Which data preprocessing task is the most time consuming?
Group of answer choices

Data cleaning

Data analysis

Data collection

Data modeling

Answer 11

Data cleaning

Question 12

Machine Learning is a field of study concerned with giving computers the ability to ________ without being explicitly programmed.

Answer 12

learn

Question 13

Rule-based algorithms: Condition

Machine Learning: _________.

Answer 13

model

Question 14

Data reduction is a data cleansing technique.
Group of answer choices

True

False

Answer 14

FALSE

Question 15

Based on the ML application table scenario, when rule complexity is simple and problem scale is large, ML application is:
Group of answer choices

Rule-based Algorithms

Simple Prolem

ML Algorithms

Manual Rules

Answer 15

Rule-based Algorithms

Question 16

Which is not true about Machine Learning?
Group of answer choices

Automation by machine learning can mitigate risks caused by fatigue or inattention.

Their maintenance is much lower than a human’s and costs a lot less in the long run.

Machines driven by algorithms designed by humans are able to learn latent rules and inherent patterns and to fulfill tasks desired by humans.

Enable computers to operate autonomously with explicit programming.

Answer 16

Enable computers to operate autonomously with explicit programming.