Which of the following best describes the difference between parametric and non-parametric models in machine learning?

Parametric model= fixed number of parameter non-par model adjust complexity

AI specialized in specific tasks

Which one is not a reason why we split data?

The model predicts specific outcomes based on historical data.

What is a Lazy algorithm ?

Algorithm that stores data and processes it later (delay learning)

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WEEK 4 BI&A

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Questions 16

Answers

1
What is Artificial General Intelligence (AGI)?
Multipurpose AI
AI that mimics emotions
AI that only processes text
AI specialized in specific tasks
2
Which of the following best describes the difference between parametric and non-parametric models in machine learning?
Parametric models use lazy learning; non-parametric use eager learning.
Non-parametric models always have fewer parameters.
Parametric models are slower than non-parametric models.
Parametric model= fixed number of parameter non-par model adjust complexity
3
What is the decision factor of the criteria “type of prediction”?
Structured vs. Unstructured
Regression vs. Classification
Small vs. Large
Simple vs. Complex
4
What is Narrow AI?
AI specialized in specific tasks
Multipurpose AI
AI used only in self-driving cars
AI that mimics human intelligence
5
What is a type of AI?
ChatGPT
Narrow AI
DeepSeek
Special AI
6
Which one is not a reason why we split data?
allows for testing with fresh data the model hasnt seen
ensures an unbiased evaluation of a models predictive performance.
The model predicts specific outcomes based on historical data.
prevents overfitting
7
What arguments are true about an eager algorithm scheme
Takes processing power constantly
Processes info after receiving a big batch and rests
Learns constantly
processes info immediately
8
What is not a key component of machine learning algorithms?
Evaluation
Equations
Optimization
Representation
9
What is an eager algorithm, is an algoritm that..
Learn too fast and make mistakes
Learn immediately
Learn after observing
Delay learning
10
Which AI approach uses IF functions and domain-specific rules?
Neural networks
Deep learning
Rule-based systems
Machine learning
11
Which of the following can NOT be an atttribute of non-dependency oriented data?
numeric: continuous
spatial: (maps, graphics)
Ordinal: ordered discrete
categorical: unordered discrete
12
What is not part of the 4 algorithm category schemes?
eager vs lazy
batch vs online
parametric vs nonparametric
supervised vs unsupervised
13
Artificial Narrow Intelligence (AGI) fulfills what function(s)?
Only machine learning
Tasks comparable to human intelligence
A specialized single task
Multiple functions/tasks
14
What is a Lazy algorithm ?
Answers quickly
Algorithm that processes data upfront.
Lazy algorithm does not listen very well
Algorithm that stores data and processes it later (delay learning)
15
Which of the following is not a characteristic of a parametric model?
has a fixed structure
are super flexible
has set parameters
linear regression is an example
16
Which one of the following is not a difference between dependant and independent data
Categorical - Sequences
Ordinal - Spatial
Numeric - Temporal
Descriptive - Predictive

WEEK 4 BI&A Flashcards | StudBud