Which of these is a primary advantage of artificial neural networks?

They can handle extremely complex tasks

What is the main reason why data variety is important in machine learning?

To help computers learn proper boundaries between categories

In machine learning, what does the term "bias" most commonly refer to?

Unfair patterns that algorithms learn from training data

What is the main difference between clustering and classification?

Clustering discovers groups, classification uses predefined ones

What is a primary concern with facial recognition systems?

Privacy and potential bias issues

What is the most accurate relationship between AI and machine learning?

Machine learning is a subset of AI

Why might small devices like smartphones have limited AI capabilities?

Limited computing power in smaller devices

Which describes how unsupervised learning differs from supervised learning?

It doesn't need predefined labels or categories

What is a major challenge with understanding how complex AI systems make decisions?

Nearly impossible to understand their decision-making

Which of these is a key characteristic of supervised learning?

It uses labeled examples with correct answers

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Artificial Intelligence and Machine Learning 3

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Questions 20

Answers

1
Which of these is a primary advantage of artificial neural networks?
They're always smaller than other models
They're simple to explain to non-technical users
They never require much data
They can handle extremely complex tasks
2
What is the main reason why data variety is important in machine learning?
To reduce storage costs
To make coding easier for programmers
To make the algorithm run faster
To help computers learn proper boundaries between categories
3
In machine learning, what does the term "bias" most commonly refer to?
The tendency of algorithms to prefer certain outputs
The political viewpoints of AI developers
Unfair patterns that algorithms learn from training data
The tilt or angle of decision boundaries
4
What is the main difference between clustering and classification?
Clustering works with images, classification with text
Clustering is faster, classification is more accurate
Clustering discovers groups, classification uses predefined ones
Clustering uses numerical data, classification uses categorical data
5
Which machine learning approach uses a flowchart-like structure?
Linear Model Approach
Neural Network Approach
Reinforcement Learning
Tree-Based Model Approach
6
What is a primary concern with facial recognition systems?
Privacy and potential bias issues
They use too much battery power
They're too slow to be practical
They can't work in dark environments
7
What is the most accurate relationship between AI and machine learning?
Machine learning is a subset of AI
They are exactly the same thing
AI is a subset of machine learning
They are completely separate technologies
8
Why might small devices like smartphones have limited AI capabilities?
Smartphone manufacturers restrict AI abilities
AI is too expensive for consumer devices
AI systems only work with larger screens
Limited computing power in smaller devices
9
What type of data is your social media profile containing photos, text posts, and friend connections?
Semi-structured data
Variety
Operational logging data
Structured data only
10
Which of these is NOT one of the 5 V's of big data?
Velocity
Volume
Variety
Verification
11
Which type of machine learning algorithm approach dates back 200+ years?
Artificial Neural Networks
Tree-Based Model Approach
Reinforcement Learning Approach
Linear Model Approach
12
Which describes how unsupervised learning differs from supervised learning?
It doesn't need predefined labels or categories
It's always less accurate than supervised learning
It only works with numerical data
It doesn't require any data at all
13
Streaming music services creating "year in review" summaries of your listening habits demonstrates which "V"?
Value
Veracity
Volume
Velocity
14
When a machine learning system identifies that songs with similar beats belong together, this is an example of:
Classification
Validation
Regression
Clustering
15
The process of teaching a computer through rewards and penalties is:
Supervised learning
Unsupervised learning
Reinforcement learning
Penalty-based learning
16
What is a major challenge with understanding how complex AI systems make decisions?
The code is always encrypted by companies
They process information too quickly to track
Nearly impossible to understand their decision-making
Only the original programmers can understand them
17
Which of these is a key characteristic of supervised learning?
It uses labeled examples with correct answers
It works with unlabeled data
It learns from trial and error
It requires no human intervention
18
What does a machine learning algorithm primarily do with training data?
Identifies patterns in it
Compresses it for storage
Shares it with other algorithms
Stores it permanently
19
Which is NOT an example of a machine learning application in everyday life?
Voice assistants
Spam email filters
Traditional calculators
Social media feed algorithms
20
Fitness apps predicting how many calories you'll burn in your workout is an example of:
Segmentation
Clustering
Classification
Regression

Artificial Intelligence and Machine Learning 3 Flashcards | StudBud