New game
Download
Get Academic Plan
Share game
Integrate it into your platform

You can integrate the game into an LMS compatible with LTI 1.1 or LTI 1.3 such as Canvas, Moodle, or Blackboard. This way, the scores will be automatically saved into the platform’s gradebook.
Download
You have exceeded the maximum number of games you can integrate into Google Classroom with your current Plan.

To integrate as many games as you want in Google Classroom, you need an Academic Plan or a Commercial Plan.

You have exceeded the maximum number of games you can integrate into Microsoft Teams with your current Plan.

To integrate as many games as you want in Microsoft Teams, you need an Academic Plan or a Commercial Plan.

Downloading games is an exclusive feature for users with an Academic Plan or a Commercial Plan.

Get your Academic Plan or your Commercial Plan now and start integrating your games into your LMS, website or blog.

If you wish, you can download a demo game here and test its integration:

Unscrambling the Data Vocabulary

Unscramble Letters

Played 190

About this activity

Unscramble core ideas in data science and machine learning.

Created by

Ecuador

Download the paper version to play

Make your own free game from our game creator
Compete against your friends to see who gets the best score in this game

Top Games

%
Anonymous
Anonymous
%
%
%
You have exceeded the maximum number of games you can print with your current Plan.

To print as many games as you want, you need an Academic Plan or a Commercial Plan.

Print your game
Unscrambling the Data Vocabulary
 

Unscramble Letters

Unscrambling the Data VocabularyOnline version

Unscramble core ideas in data science and machine learning.

by International American Institute
1

Raw facts and measurements collected for analysis and learning by systems.

2

A recurring arrangement or trend found in a dataset that helps predictions.

3

A mathematical structure that maps inputs to outputs to simulate a task.

4

A step-by-step procedure used to solve a problem or learn from examples.

5

The process of adjusting a model's parameters to better fit observed data.

6

When a model captures noise instead of underlying relationships, reducing generalization.

7

A collection of examples used to train and test a system.

8

The process of adjusting a model's parameters using data.

9

A computing system inspired by brain structure, composed of interconnected layers that process data.

  
  
10

Measuring a model's performance on unseen data.

Are you sure you want to leave the page?

If you leave, you will lose the game in progress.