Machine Learning Flashcard

Machine Learning Flashcard

Assessment

Flashcard

Computers

9th - 12th Grade

Practice Problem

Easy

Created by

Wayground Content

Used 1+ times

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19 questions

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1.

FLASHCARD QUESTION

Front

What is it called when a human trains a model to learn with examples?

Back

Supervised Learning

Answer explanation

When a human trains a model using labeled examples, it is called Supervised Learning. This method involves providing the model with input-output pairs to learn from, enabling it to make predictions on new data.

2.

FLASHCARD QUESTION

Front

What is a computer program designed to make a decision called?

Back

Model

Answer explanation

A computer program designed to make a decision is called a 'Model'. In machine learning, a model is trained on data to make predictions or decisions based on input, distinguishing it from features, labels, or training processes.

3.

FLASHCARD QUESTION

Front

What is the process of giving examples to a model so it can learn called?

Back

Training

Answer explanation

The process of giving examples to a model so it can learn is called Training. During training, the model adjusts its parameters based on the provided examples to improve its performance on tasks.

4.

FLASHCARD QUESTION

Front

What is finding patterns in data that doesn't have any labels called?

Back

Unsupervised Learning

Answer explanation

Finding patterns in unlabeled data is known as Unsupervised Learning. Unlike Supervised Learning, which uses labeled data, Unsupervised Learning identifies hidden structures without predefined categories.

5.

FLASHCARD QUESTION

Front

In _________ model keeps on increasing its performance using a Reward Feedback to learn the behavior or pattern

Back

reinforcement learning

6.

FLASHCARD QUESTION

Front

What is Reinforcement learning?

Back

It is a framework for learning where an agent interacts with an environment and receives a reward for each interaction.

7.

FLASHCARD QUESTION

Front

What are different types of machine learning?

Back

Supervised, Unsupervised, and Reinforcement

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