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Intelligent Systems Midterm Exam

Authored by Miss Mae

Computers

University

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Intelligent Systems Midterm Exam
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40 questions

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1.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

In Machine Learning, which type of learning occurs when algorithms receive feedback in the form of rewards or punishments?

Unsupervised Learning

Supervised Learning

Reinforcement Learning

2.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

What is a primary application of convolutional neural networks in deep learning?

Fraud detection

Speech recognition

Image recognition

3.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Which algorithm in machine learning is based on finding the hyperplane that best separates different classes in the feature space?

Support Vector Machine (SVM)

Decision Trees

K-Nearest Neighbors (KNN)

4.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

What type of deep learning is used for understanding the context of a sentence or phrase in natural language processing?

Recurrent neural networks (RNNs)

Deep reinforcement learning

Convolutional neural networks

5.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Which real-world machine learning application helps with predicting disease outbreaks in the healthcare sector?

Machine learning algorithm in healthcare

Autonomous vehicles using ML

NLP applications for spam filtering

6.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

Which type of machine learning algorithm is best suited for tasks involving continuous output prediction assuming a linear relationship?

Support Vector Machine

Linear Regression

Decision Trees

7.

MULTIPLE CHOICE QUESTION

10 mins • 1 pt

In which scenario is unsupervised learning most appropriately used?

Predicting continuous outcome with labeled datasets

Classifying labeled data into predefined categories

Clustering unlabeled data into meaningful groups

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