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Machine Learning Cheat Sheet download for Linux

Free download Machine Learning Cheat Sheet Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Machine Learning Cheat Sheet whose latest release can be downloaded as machine-learning-cheat-sheetsourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Machine Learning Cheat Sheet with OnWorks for free.

이 앱을 실행하려면 다음 지침을 따르세요.

- 1. 이 애플리케이션을 PC에 다운로드했습니다.

- 2. 파일 관리자 https://www.onworks.net/myfiles.php?username=XXXXX에 원하는 사용자 이름을 입력합니다.

- 3. 이러한 파일 관리자에서 이 응용 프로그램을 업로드합니다.

- 4. 이 웹사이트에서 OnWorks Linux 온라인 또는 Windows 온라인 에뮬레이터 또는 MACOS 온라인 에뮬레이터를 시작합니다.

- 5. 방금 시작한 OnWorks Linux OS에서 원하는 사용자 이름으로 파일 관리자 https://www.onworks.net/myfiles.php?username=XXXXX로 이동합니다.

- 6. 응용 프로그램을 다운로드하여 설치하고 실행합니다.

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기술

This repository is a visually rich and well-organized “cheat sheet” summarizing core machine learning concepts, algorithms, formulas, and best practices. It includes summaries of supervised and unsupervised learning methods, model evaluation metrics (accuracy, precision, recall, ROC/AUC), overfitting/underfitting, regularization (L1/L2), cross-validation, feature engineering techniques, and perhaps tips for hyperparameter tuning. Each section is presented concisely, often with diagrams, formula snippets, and short explanatory notes to serve as quick reference for students, practitioners, or interview prep. The repository is ideal for those who want a compact, at-a-glance reminder of ML fundamentals without diving back into textbooks. Because the cheat sheet is meant to be portable and broadly useful, it is format-friendly (often in Markdown, PDF, or image formats) and easy to include in learning workflow or slides.



기능

  • Compact summary of core supervised and unsupervised algorithms
  • Key formulas and metrics (loss functions, ROC/AUC, confusion matrix, regularization)
  • Visual diagrams illustrating model behavior or tradeoffs
  • Feature engineering, validation, and hyperparameter tuning tips
  • Community contributions and versioning for updates
  • Multi-format availability (Markdown / PDF / image) for portability



카테고리

알고리즘

This is an application that can also be fetched from https://sourceforge.net/projects/machine-learning-cheat.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


무료 서버 및 워크스테이션

Windows 및 Linux 앱 다운로드

Linux 명령

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