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SamBelkacem

AI-ML-cheatsheets

Cheatsheets for AI and Machine Learning

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创建于 2023-03-28 · 更新于 2026-10-15 · 今日第 6380 名
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SamBelkacem/AI-ML-cheatsheets 排名第 6,380,有 723 个星标。

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SamBelkacem/AI-ML-cheatsheets 排名第 6,380,此处有 8 个同类条目;zhuhu00/Awesome_Dynamic_SLAM 排名第 6,373。

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关键参数与规格
关键参数与规格
参数值
类别Lists
子类别Tool collections
星标数723
分叉数244
贡献者1
创建日期2023-03-28
更新日期2026-10-15
1 天星标数1
7 天星标数4
排名6,380
上次排名14,388
排名变化8,008
7 天星标排名6,396
上次 7 天星标排名7,293
7 天星标排名变化897
总星标排名14,491
上次总星标排名14,485
总星标排名变化-6
国家Algeria
README 摘录

AI-ML-cheatsheets This GitHub repository gathers the most popular cheatsheets and quick reference guides for Artificial Intelligence (AI) and Machine learning (ML). Google Drive For an ease of download and browse over the files, a Google Drive version of this GitHub repository is available here. AI-ML-roadmap The global structure of this GitHub repository follows to some extent the following AI and Machine Learning roadmap. The structure of the folder 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** The content of the folder 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

常见问题

记录了多少星标和分叉?

SamBelkacem/AI-ML-cheatsheets 有 723 个星标和 244 个分叉。

仓库排名是多少?

SamBelkacem/AI-ML-cheatsheets 排名第 6,380。

哪个仓库排名最接近?

SamBelkacem/AI-ML-cheatsheets 与 zhuhu00/Awesome_Dynamic_SLAM 比较,后者排名第 6,373,有 726 个星标。

README

AI-ML-cheatsheets

This GitHub repository gathers the most popular cheatsheets and quick reference guides for Artificial Intelligence (AI) and Machine learning (ML).

Google Drive

For an ease of download and browse over the files, a Google Drive version of this GitHub repository is available here.

AI-ML-roadmap

The global structure of this GitHub repository follows to some extent the following AI and Machine Learning roadmap.

The structure of the folder

The content of the folder

  • 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
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