ICT Understanding Artificial Intelligence Lesson 4

19 termsStudBud Administration5 plays

Test your knowledge on the basics of machine learning, including types, key features, and common applications.

Flashcards19 cardsFPractice quizPHost liveL

Questions 19

Answers

1
What is the first stage of machine learning training?
Codes
Data
Programmers
Pictures
2
What category does Daneesha's program fall under?
Classification
Clustered
Repeated
Regression
3
What is a common application of machine learning?
Manual data entry
Static analysis
Image recognition
Basic calculations
4
What does machine learning enable a machine to do?
Secures
Prompts
Trains
Codes
5
What does 'velocity' refer to in data?
Data variety
Data speed
Amount of data
Data accuracy
6
What type of machine learning is not supervised or unsupervised?
Engaged
Reinforcement
Reimaged
Predictable
7
What is the main goal of reinforcement learning?
Maximize rewards
Increase data variety
Reduce processing time
Minimize errors
8
What is the last stage of machine learning training?
Feedback analysis
Data collection
Model deployment
Improvement
9
How does machine learning learn?
Discreetly
Correctly
Carefully
Automatically
10
What is the purpose of a sales report?
Predictive
Deliberate
Prescriptive
Descriptive
11
Which type of data is NOT used in machine learning?
Images
Numbers
Text
Sounds
12
True or False: Machine learning is a subset of AI.
True
False
13
What does a neural network mimic?
Spinal functions
Brain functions
Lung functions
Heart functions
14
A neural network is inspired by which body part?
Heart
Spine
Brain
Lungs
15
What property measures data speed?
Veracity
Volume
Variety
Velocity
16
What type of learning uses trial and error?
Unsupervised Learning
Reinforcement Learning
Refiguring Learning
Supervised Learning
17
What is a key feature of machine learning?
Manual input
Explicit programming
Static algorithms
Learning from data
18
What can data include?
Dashboards
Images
Programs
CPUs
19
Which type of learning is used for predictions?
Prescriptive
Predictive
Exploratory
Descriptive

ICT Understanding Artificial Intelligence Lesson 4 Flashcards | StudBud

ICT Understanding Artificial Intelligence Lesson 4

19 termsStudBud Administration5 plays

Test your knowledge on the basics of machine learning, including types, key features, and common applications.

Flashcards19 cardsFPractice quizPHost liveL

Questions 19

Answers

1
What is the first stage of machine learning training?
Codes
Data
Programmers
Pictures
2
What category does Daneesha's program fall under?
Classification
Clustered
Repeated
Regression
3
What is a common application of machine learning?
Manual data entry
Static analysis
Image recognition
Basic calculations
4
What does machine learning enable a machine to do?
Secures
Prompts
Trains
Codes
5
What does 'velocity' refer to in data?
Data variety
Data speed
Amount of data
Data accuracy
6
What type of machine learning is not supervised or unsupervised?
Engaged
Reinforcement
Reimaged
Predictable
7
What is the main goal of reinforcement learning?
Maximize rewards
Increase data variety
Reduce processing time
Minimize errors
8
What is the last stage of machine learning training?
Feedback analysis
Data collection
Model deployment
Improvement
9
How does machine learning learn?
Discreetly
Correctly
Carefully
Automatically
10
What is the purpose of a sales report?
Predictive
Deliberate
Prescriptive
Descriptive
11
Which type of data is NOT used in machine learning?
Images
Numbers
Text
Sounds
12
True or False: Machine learning is a subset of AI.
True
False
13
What does a neural network mimic?
Spinal functions
Brain functions
Lung functions
Heart functions
14
A neural network is inspired by which body part?
Heart
Spine
Brain
Lungs
15
What property measures data speed?
Veracity
Volume
Variety
Velocity
16
What type of learning uses trial and error?
Unsupervised Learning
Reinforcement Learning
Refiguring Learning
Supervised Learning
17
What is a key feature of machine learning?
Manual input
Explicit programming
Static algorithms
Learning from data
18
What can data include?
Dashboards
Images
Programs
CPUs
19
Which type of learning is used for predictions?
Prescriptive
Predictive
Exploratory
Descriptive