Everyday Series Quiz

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A machine learning technique that helps in detecting the outliers in data. *

10 points

A. Clustering

B. Classification

C. Anomaly Detection

D. All of the above

Machine Learning algorithms build a model based on sample data, known as ______ *

10 points

Training Data

Transfer Data

Data Training

None of the above

Which of the following is not supervised learning? *

10 points

A. Principal Component Analysis

B. Naive Bayesian

C. Linear Regression

D. Decision Tree

Real-time decisions, Game AI, Learning Tasks, Skill acquisition, and Robot Navigation are applications of ______ *

10 points

A. Reinforcement Learning

B. Supervised Learning: Classification

C. Unsupervised Learning: Regression

D. None of the above

Machine Learning is a subset of _______ *

10 points

A. Data Learning

B. Deep Learning

C. Artificial Intelligence

D. None of the above

What is the most common issue when using Machine Learning?

10 points

Poor Data Quality

Lack of skilled resources

Inadequate Infrastructure

None of the above

Clear selection

What is the most significant phase in a genetic algorithm? *

10 points

A. Mutation

B. Crossover

C. Selection

D. Fitness Function

What is principal component analysis? *

15 points

A. A feature selection technique that adds or removes features to optimize prediction accuracy

B. A linear feature transformation technique for reducing data dimensionality

C. A clustering technique that partitions data into mutually exclusive clusters

D. A predictive technique that identifies a better set of parameters

ML is a field of AI consisting of learning algorithms that? *

10 points

A. Improve their performance

B. Execute some task

C. Improve over time with experience

D. All of the above

Which one in the following is not Machine Learning Disciplines? *

10 points

A. Physics

B. Neuro-statistics

C. Information Theory

D. Optimization Control

Which of the following are ML Methods? *

15 points

A.Supervised Learning

B. Based on human Supervision

C. Semi-reinforcement Learning

D. All of the above

Machine learning algorithms are meant to simulate *

10 points

Virtual reality

Human Brain

Human behaviour

All of the above

What does a classification model do? *

10 points

A. Predicts real number responses such as changes in temperature, date, or time

B. Assigns data to a predefined category

C. Clusters responses in groups based on similarity, to find patterns

D. Compares predicted data classifications to the actual class labels in the data

What are the successful applications of Machine Learning?

10 points

Learning to recognize spoken words

For cancer treatment

Learning to classify new astronomical structures

All of the above

Clear selection

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