Advanced Data Analytics Quiz

Advanced Data Analytics Quiz

12th Grade

8 Qs

quiz-placeholder

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Advanced Data Analytics Quiz

Advanced Data Analytics Quiz

Assessment

Quiz

Science

12th Grade

Hard

Created by

Elmo Juanara

FREE Resource

8 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary goal of machine learning according to Tom Dietterich?

To create graphical models

To analyze small datasets

To perform statistical hypothesis testing

To build computers that can adapt and learn from experience

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which algorithm is mentioned for learning clusters?

K-means algorithm

Decision Trees

Support Vector Machine

Random Forest

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does statistical learning emphasize?

Formal statistical inference

High dimensionality prediction problems

Data visualization techniques

Data cleaning methods

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a key principle of statistical thinking in data science?

All work occurs in a system of interconnected processes

Statistical models must be complex

All data is numerical

Data should always be normalized

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of regression analysis in statistical learning?

To visualize data

To evaluate mixture models

To perform clustering

To learn simple linear regression models

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a characteristic of a good clustering method?

High intra-class similarity

Low inter-class similarity

High computational complexity

Effective similarity measure

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does the likelihood estimation help to determine?

The probability of a hypothesis given the data

The mean of a dataset

The variance of a dataset

The correlation between variables

8.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the context of regression models, what does the least squares fit aim to minimize?

The complexity of the model

The number of variables in the model

The sum of squared differences between observed and predicted values

The time taken to compute the model