Machine Learning and Baseball Signs Quiz

Machine Learning and Baseball Signs Quiz

Assessment

Interactive Video

Computers

9th - 10th Grade

Hard

Created by

Jennifer Brown

FREE Resource

10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was the primary motivation behind creating the app to decode baseball signs?

To win more baseball games

To increase interest in coding and machine learning

To sell the app for profit

To replace baseball coaches

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the app determine if a sequence of signs indicates a steal?

By using a random number generator

By asking the coach directly

By using a pre-set list of signs

By analyzing the sequence of signs and their outcomes

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What analogy is used to explain the basics of machine learning?

A chef learning new recipes

Timmy choosing toys based on size and complexity

A child learning to play piano

A cat learning to catch mice

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the common strategy used by baseball coaches for signaling?

Using random gestures with no pattern

Using an indicator followed by the actual sign

Using only verbal signals

Using a single gesture for all actions

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is machine learning necessary for decoding more complex sign sequences?

Because it is cheaper than hiring a coach

Because it can predict the weather

Because it is faster than any human

Because it can handle more data and complex patterns

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the three main parts of a neural network?

Start, middle, end

Input layer, output layer, hidden layers

CPU, GPU, RAM

Data, algorithm, result

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does the app's machine learning model improve its accuracy?

By using a magic formula

By copying other successful models

By tweaking hidden layer knobs based on training data

By randomly guessing until it gets it right

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