
Semi-supervised Learning
Quiz
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Other
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University
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Practice Problem
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Hard
Princess Alumisin
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11 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
When a new product is being proposed, or a new industry has come around, a common problem they face is a lack of labeled training data to apply traditional supervised learning approaches
Insufficient Quantity of Labeled Data
Insufficient Domain Expertise to Label Data
Insufficient Time to Label and Prepare Data
High-Quality Labeled Data
2.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
When working in a field that deals with fast evolving problems, collecting and preparing a dataset to build a useful solution quickly enough may be impractical
Insufficient Quantity of Labeled Data
Insufficient Domain Expertise to Label Data
Insufficient Time to Label and Prepare Data
High-Quality Labeled Data
3.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
It's known that 60% or more of the time spent working on machine learning problems is dedicated to the preparation of a dataset.
Insufficient Quantity of Labeled Data
Insufficient Domain Expertise to Label Data
Insufficient Time to Label and Prepare Data
High-Quality Labeled Data
4.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
Getting a domain expert to label training data can quickly become expensive, hence it's often not a viable solution
Insufficient Quantity of Labeled Data
Insufficient Domain Expertise to Label Data
Insufficient Time to Label and Prepare Data
High-Quality Labeled Data
5.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
Some problems can be labeled by absolutely anyone
Insufficient Quantity of Labeled Data
Insufficient Domain Expertise to Label Data
Insufficient Time to Label and Prepare Data
High-Quality Labeled Data
6.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
The demand for high-quality labeled data often leads to a major roadblock when businesses attempt to approach problems using machine learning
Insufficient Quantity of Labeled Data
Insufficient Domain Expertise to Label Data
Insufficient Time to Label and Prepare Data
The Data Problem
7.
MULTIPLE CHOICE QUESTION
15 mins • 1 pt
Usually, data scientists would obtain more data but the issue in this scenario is that do SO may be impractical, expensive, or impossible without waiting for time to pass so data can be accumulated.
Insufficient Quantity of Labeled Data
Insufficient Domain Expertise to Label Data
Insufficient Time to Label and Prepare Data
High-Quality Labeled Data
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