Machine Learning

What is a Generative Adversarial Network?

Simple explanation of how Generative Adversarial Networks work including examples.

Definition of Natural Language Processing, as well as its application areas.

Explanation of the GPT-3 model including possible areas of application and weaknesses.

Explanation of the k-Means algorithm including the elbow method.

Unsupervised learning algorithms explained with the help of concrete examples and applications.

Explanation of reinforcement learning algorithms using the game Pac-Man.

Explanation of Deep Learning with examples and differentiation from Machine Learning.

Logistic regression explained with examples and detailed derivation.

Explanation of the Random Forest algorithm with description of decision trees and application areas.

Explanation of the Decision Tree algorithm with the help of a detailed example, as well as the advantages and disadvantages.