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IB CS Case Study 2023 - Recommender Systems Flashcards | StudBud
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IB CS Case Study 2023 - Recommender Systems
IB CS Case Study 2023 - Recommender Systems
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Questions
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Answers
1
How much training data does machine learning need?
Lots
Little
none, AI needs no training data
some but not a lot
2
Unsupervised Learning Includes:
Nothing at all
Greedy
Clustering
leave it in a black hole
3
Right to Privacy - Which statement is
false
?
you have control over information you share about yourself
your email is secure and no one can read it except you
information posted on the internet is there forever
knowing who you are sharing information with is key
4
Which one of these are abusing our Privacy right on social media:
when people are spamming you
when someone wont stop texting you
when someone follows you
being observed or tracked by others, including the government
5
this is an example of a service
sprint
Hulu
Netflix
Verizon
6
The benefits of using Infrastructure as a service (IAAS) are
Portability
Flexibility
Full control of computing resources
All of them
7
What is Machine learning?
is when multimple Artificial Intelligences are combined
Is the same of Artificial Intelligence
is a subset of artificial intelligence
Is a software that performs automated analysis
8
What is infrastructure as a service (Iaas)?
It is an app for cloud computing.
It is a more flexible cloud service, requires a lot of managment.
It is a cloud environment.
9
A parameter whose values control the learning process and determine rhge values of model parameters is called a
Ultraparameter
Hyperparameter
Superparameter
Wonderparameter
10
what is cloud computing
remote servers hosted over the internet which stores data or hosts software
storing info in the sky
strong space
disaster recovery
11
AI stands for
Adobe Illustrator
Artificial Information
Artificial Intelligence
Applied Innovations
12
If popular items are overly recommended at the expense of less popular items it is called
unpopular
Popularity Bias
Popularity Expense
Popularity Bus
13
Unsupervised Learning: Given Unlabeled Data
True
False
14
When you are implementing a Software as a Service (SaaS) solution, you are responsible for
configuring the SaaS solution
configuring high availability
installing the SaaS solution
defining scalability rules
15
In supervised learning:
The algorithms are known but not the inputs
Both the inputs and the desired outputs are known
Only input stimuli are shown to the network
The network is being control by the user
16
Supervised learning maps or relates:
input data --> labeled output data
output data --> unlabeled input data
output data --> labeled input data
input data --> unlabeled output data
17
Anonymity is...
a good name for a band
when you lose your data
when you hide the name of a participant
ensuring no participant can be identified in your research
18
The big idea in reinforcement learning is ..
Actor Critic methods
Apply neural networks
Learn directly from experience
Compute the optimal policy
19
Which of These is Infrastructure as a service
The cloud provider manages the network and provides access to the tools
All of the Above
The cloud provider provides access to services, such as email, calendar, co
The cloud provider provides access to operating systems, development tools
20
Software as a Service(SaaS) provides...
Visualized computing resources over the Internet
A platform that can run and manage applications
A subscription-based model with centrally hosted software
Lots of space sandwiches
21
Is on-demand Software from a 3rd party that runs it and provide it as a service.
Software as a Service (SaaS)
Infrastructure as a Service (IaaS)
Amazon Web Services
Azure