The decision boundary in logistic regression is determined by:

Threshold on predicted probability

What is Machine Learning?

Algorithms that learn from data

Which of the following assumptions does linear regression make?

Relationship between variables is linear

Reinforcement Learning involves:

Learning from rewards and penalties

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ML

17 termsStudBud Administration

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Questions 17

Answers

1
Which of the following is a real-world application of ML?
Static report generation
Spam filtering in emails
HTML page design
File compression
2
The decision boundary in logistic regression is determined by:
Weight decay
Number of features
Learning rate
Threshold on predicted probability
3
In unsupervised learning, the model tries to:
Learn from rewards
Match input to output
Discover patterns or structure
Predict outputs
4
Which algorithm is used in unsupervised learning?
Decision Tree
Logistic Regression
Linear Regression
K-Means Clustering
5
ML is a subfield of which broader domain?
Artificial Intelligence
Web Development
Cloud Computing
Robotics
6
Which of the following is an example of supervised learning?
Predicting house prices
Noise removal in signals
Clustering customers
Image segmentation without labels
7
Linear regression is used to:
Classify data
Reduce dimensions
Predict continuous values
Cluster data
8
What is Machine Learning?
Algorithms that learn from data
A method to manually program behavior
Only data visualization techniques
Static rule-based programming
9
Which of the following assumptions does linear regression make?
Relationship between variables is linear
Output is binary
Data is non-linear
Features are highly skewed
10
In linear regression, the relationship between input and output is assumed to be:
Binary
Quadratic
Non-linear
Linear
11
Supervised learning requires:
Unlabeled data
Only numeric data
Labeled data
No training data
12
Which function is used to squash the output between 0 and 1 in logistic regression?
Linear
ReLU
Sigmoid
Tanh
13
Which is NOT a type of machine learning?
Unsupervised Learning
Supervised Learning
Deep Learning
Reinforcement Learning
14
Which one is not a typical ML task?
Sorting
Regression
Clustering
Classification
15
Which of the following is a key element of ML?
Flowcharts
Manual rules
Human intuition
Data
16
Reinforcement Learning involves:
Learning from rewards and penalties
Data clustering
No feedback
Pre-labeled training data
17
Logistic regression is used when the output is:
Clustered
Multi-class
Binary or categorical
Continuous

ML Flashcards | StudBud

ML

17 termsStudBud Administration

Imported from external platform

Flashcards17 cardsFPractice quizPHost liveL

Questions 17

Answers

1
Which of the following is a real-world application of ML?
Static report generation
Spam filtering in emails
HTML page design
File compression
2
The decision boundary in logistic regression is determined by:
Weight decay
Number of features
Learning rate
Threshold on predicted probability
3
In unsupervised learning, the model tries to:
Learn from rewards
Match input to output
Discover patterns or structure
Predict outputs
4
Which algorithm is used in unsupervised learning?
Decision Tree
Logistic Regression
Linear Regression
K-Means Clustering
5
ML is a subfield of which broader domain?
Artificial Intelligence
Web Development
Cloud Computing
Robotics
6
Which of the following is an example of supervised learning?
Predicting house prices
Noise removal in signals
Clustering customers
Image segmentation without labels
7
Linear regression is used to:
Classify data
Reduce dimensions
Predict continuous values
Cluster data
8
What is Machine Learning?
Algorithms that learn from data
A method to manually program behavior
Only data visualization techniques
Static rule-based programming
9
Which of the following assumptions does linear regression make?
Relationship between variables is linear
Output is binary
Data is non-linear
Features are highly skewed
10
In linear regression, the relationship between input and output is assumed to be:
Binary
Quadratic
Non-linear
Linear
11
Supervised learning requires:
Unlabeled data
Only numeric data
Labeled data
No training data
12
Which function is used to squash the output between 0 and 1 in logistic regression?
Linear
ReLU
Sigmoid
Tanh
13
Which is NOT a type of machine learning?
Unsupervised Learning
Supervised Learning
Deep Learning
Reinforcement Learning
14
Which one is not a typical ML task?
Sorting
Regression
Clustering
Classification
15
Which of the following is a key element of ML?
Flowcharts
Manual rules
Human intuition
Data
16
Reinforcement Learning involves:
Learning from rewards and penalties
Data clustering
No feedback
Pre-labeled training data
17
Logistic regression is used when the output is:
Clustered
Multi-class
Binary or categorical
Continuous