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AI Exam Cheat Sheet Cheat Sheet (DRAFT) by

A cheat sheet for engineering AI exam

This is a draft cheat sheet. It is a work in progress and is not finished yet.

Types of Machine Learning

Supervised Learning
predicting labels­/ta­rgets given all input data (labels and data)
addressing 'how may...?'
- Classi­fic­ation: adressing 'is this a...?'
- Neural Nets
Unsupe­rvised Learning
drawing patterns in non-la­belled data
- Clustering
Self-S­upe­rvised
train on unlabeled data
Semi-S­upe­rvised
small labeled dataset guiding training on larger dataset
- GANs training two models

AI views

Symbolic
Including hard coded rules and symbols using if/then statements
Connec­tionist
Approach to AI that focuses on learning associ­ations from data through interc­onn­ected networks of simple processing units (neurons).
 
 
 
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