Practice Lab Objectives (3.1) - Unsupervised Learning & Dimensionality Reduction (Weeks 10)
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Lab Objectives

Practice - Lab Objectives

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does GMM stand for?

💡 Hint: It involves the use of probability.

Question 2 Easy

What is the main goal of anomaly detection?

💡 Hint: Think about what makes something unusual.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a primary advantage of GMMs over K-Means?

Handles elliptical clusters
Requires fewer data points
Is faster to compute

💡 Hint: Think about the shapes these models can represent.

Question 2

Anomaly detection is primarily used to identify:

True
False

💡 Hint: Consider the implications of detecting unusual occurrences.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with known clusters, apply GMM and compare its performance with K-Means. Discuss the findings.

💡 Hint: Focus on cluster shapes and assignments.

Challenge 2 Hard

Design a basic framework using Isolation Forest on a dataset containing clear anomalies. Analyze its performance against a known set of anomalies.

💡 Hint: Review how to tune parameters for optimal results.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.