Machine Learning Algorithms – Part I Exercises (Part 2)

K-Means Clustering is a simple way of clustering data into classified groups.

Gaussian Mixture Model (GMM) is a supervised learning algorithm.

 What are good applications of t-SNE? Select all that apply.

Even models built using simpler algorithms (such as decision trees) require a lot of time, data, and compute power.

How does a machine learn with reinforcement Learning

Which Machine Learning Algorithms are good for Clustering? Select all that apply:

What is the Exploration vs. Exploitation Tradeoff?

The Exploration vs Exploitation Tradeoff is an issue in which type of machine learning?

Which Machine Learning Algorithms are good for Regression? Select all that apply: