Understanding Learning Systems and Feedback

Understanding Learning Systems and Feedback

Assessment

Interactive Video

Computers, Design, Instructional Technology

9th - 10th Grade

Hard

Created by

Patricia Brown

FREE Resource

Anit Verma discusses designing efficient learning systems, focusing on steps like choosing training experience, defining target functions, and using function approximation algorithms. The video uses chess as an example to illustrate concepts like feedback, control, and representation. The final design is achieved through iterative trials and learning from successes and failures.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important for a learning system to be both perfect and efficient?

To ensure it can learn quickly and provide accurate results

To make it more complex and harder to understand

To limit its application to only specific tasks

To increase the cost of development

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the impact of training data on a model's success?

It has no impact

It makes the model more expensive

It determines the model's success or failure

It only affects the speed of the model

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What does direct feedback in training data mean?

Feedback that is always positive

Immediate feedback on choices

Feedback that is never given

Feedback given after a long time

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the degree of control affect a learning system?

It determines how much the learner can control the training data

It reduces the accuracy of the model

It limits the number of examples used

It increases the complexity of the system

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of the target function in a learning system?

To provide random moves

To determine the next legal move based on knowledge

To make the system slower

To increase the cost of the system

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a representation of the target function?

Random number generation

Graph representation

Tabular form

Linear equation

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of a function approximation algorithm?

To make random decisions

To approximate learning from past experiences

To ignore previous experiences

To increase the complexity of the model

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