Education, Math and Science Cheatsheets

A concise cheat sheet for ENGGEN 140, covering essential concepts, formulas, and definitions from the coursebook.

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.