AI ML cheatsheets
1.0.0
This GitHub repository gathers the most popular cheatsheets and quick reference guides for Artificial Intelligence (AI) and Machine learning (ML).
For an ease of download and browse over the files, a Google Drive version of this GitHub repository is available here.
The global structure of this GitHub repository follows to some extent the following AI and Machine Learning roadmap.
01- Mathematics
02- C++
03- Python
04- Computer architecture
05- Data structures
06- Automata theory
06- Complexity theory
07- SQL
08- Data cleaning
09- Data visualization
10- Mathematical logic
11- Introduction to AI
12- Machine learning
13- Deep learning
14- Metrics to evaluate ML algorithms
15- Reinforcement learning
16- Time series
17- Git
01- Mathematics
Calculus cheat sheet all reduced
Calculus cheat sheet
Linear Algebra in 4 pages
Probability cheat sheet
Probability distribution cheat sheet
Statistics cheat sheet
Super-cheatsheet-mathematics
Summary statistics
02- C++
C++ Reference Card
C++ Libraries
C++ OOP Reference Card
03- Python
Python for Beginners
Python Reference Cheatsheet
Python cheatsheet
Python for Data Science cheatsheet
Numpy cheatsheet
Pandas cheatsheet 1
Pandas cheatsheet 2
Matplotlib cheatsheet 1
Matplotlib cheatsheet 2
Scikit-Learn cheatsheet
List, Tuples, Sets, Dictionary
Tutorial Python
04- Computer architecture
Computer organisation cheatsheet
05- Data structures
Classification of Data structures
Data structures
Complexity
Resources
06- Automata theory
Languages and Automata cheathseet
Automata cheatsheet
Context-Free Grammar cheatsheet
06- Complexity theory
Complexity Theory Cheat Sheet
Computability Theory Cheat Sheet
07- SQL
SQL-quick-guide
SQL operations
SQL query execution order
SQL commands
SQL-basics-cheat-sheet-a4
SQL joins-cheat-sheet-a4
Study-guide-data-retrieval-with-SQL
SQL Roadmap
08- Data cleaning
Data-cleaning-checklist
Data-cleaning-guide
Data-preparation-cheatsheet
Feature engineering
Feature-selection-methods
Hypothesis-testing-cheatsheet
09- Data visualization
Core principles of Data Visualization
Visual Vocabulary
Data visualization cheatsheet
The chart chooser
From Data to Visualization
10- Mathematical logic
cheatsheet-logic-models
11- Introduction to AI
cheatsheet-states-models
cheatsheet-variables-models
12- Machine learning
Machine learning process
Machine-learning-map
Machine learning algorithms
How to choose a ML algorithm 1
How to choose a ML algorithm 2
Time complexity of ML algorithms
Comparison of ML algorithms 1
Comparison of ML algorithms 2
Comparison of ML algorithms 3
Comparison of ML algorithms 4
Comparison of ML algorithms 5
super-cheatsheet-machine-learning
Machine learning cheatsheets
Machine learning explainability
Machine learning operations MLOps
13- Deep learning
super-cheatsheet-deep-learning
Large Language Models cheatsheet
main types of neural networks
Architecture - Classification MLP
Architecture - Regression MLP
Activation Function - Hidden Layer
Activation Function - Output Layer
Activation Functions
14- Metrics to evaluate ML algorithms
Metrics-machine-learning
Performance-measure-machine-learning
15- Reinforcement learning
Reinforcement learning cheatsheet 1
Reinforcement learning cheatsheet 2
16- Time series
Time-series-cheat-sheet
17- Git
Git-cheat-sheet
Git-cheat-sheet 2
