Education, Math and Science Cheatsheets

A concise two-page cheat sheet covering the most essential concepts, formulas, definitions, and examples from ENGGEN 140.

A concise reference for deep learning practitioners using PyTorch, covering core concepts, modules, and common operations.

A concise guide to the human nervous system, covering its structure, function, and key components like the auditory, visual, and motor systems.

A concise guide to the human nervous system, covering its structure, functions, and key components. This cheat sheet provides a quick reference for students, healthcare professionals, and anyone interested in understanding the complexities of neural communication and control.

A quick reference guide covering essential kinematics concepts, formulas, and graphs.

A comprehensive cheat sheet covering various machine learning algorithms, including supervised, unsupervised, semi-supervised, and reinforcement learning, along with deep learning architectures.

A concise cheat sheet outlining the key concepts, algorithms, and differences between supervised and unsupervised learning methods in machine learning.

A comprehensive cheat sheet covering monoidal category theory, its prerequisites, string diagrams, and compact closed categories. Useful for students and researchers in mathematics, physics, and computer science.

A comprehensive cheat sheet covering the key aspects of Early Elizabethan England, from Queen Elizabeth's government and religious policies to the challenges she faced at home and abroad, and the vibrant Elizabethan society during the Age of Exploration.