My twin brother Afshine and I have been teaching the following courses at Stanford:

• CME 295: Transformers & Large Language Models since Spring 2025.

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1:48:44

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• CME 296: Diffusion & Large Vision Models since Spring 2026.

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In the past, we built easy-to-digest study guides highlighting the important points of the class that he taught at MIT and the ones I TA-ed during my studies at Stanford.

Computer Science

VIP cheatsheets for CS 221
Artificial Intelligence

• Reflex-based models
• States-based models
• Variables-based models
• Logic-based models

PDF Web

VIP cheatsheets for CS 229
Machine Learning

• Supervised and Unsupervised Learning
• Deep Learning
• Machine Learning tips and tricks
• Probabilities, Statistics, Linear Algebra and Calculus refreshers

PDF Web

VIP cheatsheets for CS 230
Deep Learning

• Convolutional Neural Networks
• Recurrent Neural Networks
• Deep Learning tips and tricks

PDF Web

Computational and Mathematical Engineering

VIP cheatsheets for CME 102
Ordinary Differential Equations

• First and second-order ODEs and applications
• Linear Algebra, Calculus and Trigonometry tools
• Matlab tips

PDF Web

VIP cheatsheets for CME 106
Probability and Statistics for Engineers

• Key concepts of the course
• Distribution tables, common questions
• Matlab tips and course-related functionalities

PDF Web

Data Science

Study guides for 15.003
Data Science Tools

• Data retrieval with SQL
• Data manipulation and visualization with R, Python
• Engineering tips with Git, Bash

PDF Web

Study guides for 15.003
Modeling

• Data preparation (train, test, validation)
• Supervised learning (classification, regression)
• Unsupervised learning (clustering)
• Performance metrics

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