Welcome to our fourth set of flashcards, designed to make ML concepts easy and intuitive. If you know all the terms – you are a champ! But also, you might have some people around you who aren’t as familiar. Hopefully, these cards will be your go-to place to refresh your knowledge or to share with people who need an easy understanding of important ML and AI concepts.

Previously on AI 101/Concepts: 1. Reinforcement Learning and Deep Learning on Flashcards 2. Types of Deep Learning 3. Types of Reinforcement Learning with Feedback

Today’s set helps to understand the core methodologies behind training machine learning models. Our cards explore Supervised Learning, Unsupervised learning, Self-Supervised Learning, and Semi-Supervised Learning. Each of these techniques is beneficial depending on the type of data available and the nature of the project.

The flashcards are designed to explain common AI concepts in such a way that it is understood by adults and children.

Here are the types of machine learning techniques:

You are welcome to share these cards! For our Premium subscribers, we prepared a downloadable PDF-version and a collection of resources to dive deeper →

The flashcards series is a pure experiment, and it will be evolving with time and your feedback. If you want to help create them or can recommend cool tools that could assist with this – let me know at ks@turingpost.com