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Lec 6

Create an educational illustration featuring keywords such as 'Machine Learning', 'Supervised Learning', and 'Unsupervised Learning', with geometric shapes and data visualizations in a colorful and engaging style.

Machine Learning Fundamentals Quiz

Test your knowledge of machine learning concepts with this engaging quiz! Designed to assess your understanding of various aspects of supervised and unsupervised learning, this quiz will challenge your grasp of key terms and methodologies.

Key features:

10 multiple-choice questions
Instant feedback on your answers
Perfect for students and professionals alike

10 Questions2 MinutesCreated by LearningScout451

In a machine learning model , what comes after the preprocessing ?

Measuring devices

Prediction

Dimensionality reduction

Model selection

Supervised learning does not aim to produce output in the response of the particular input instead it discovers patterns in data

Predicted category or value of the data (column to predict)

Target

Features

Example

Label

Properties of the data used for prediction (non-target columns)

Target

Features

Example

Label

Unsupervised learning is Learning a model from unlabeled data.

You never train your model and test its performance on the same dataset

A set of unseen data used only to assess the performance of a fully-specified classifier.

Validation set

Training set

Learning set

Test set

Is a type of dynamic programming that trains algorithms using a system of reward and punishment.

Supervised learning

Unsupervised learning

Reinforcement learning

Machine Learning

Clustering is an important concept when it comes to supervised learning.

Example is a single data point within the data (one row)

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