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Brief visual explanations of machine learning concepts with diagrams, code examples and links to resources for learning more. Warning: If you find errors, please raise anissueorcontributea better definition!
13 Απρ 2022 · In this cheat sheet, you'll find a handy guide describing the most widely used machine learning models, their advantages, disadvantages, and some key use-cases. Get started on your way to becoming a machine learnng expert by starting our Machine Learning Scientist with Python track today.
This cheat sheet is a condensed version of machine learning manual, which contains many classical equations and diagrams on machine learning, and aims to help you quickly recall knowledge and ideas in machine learning.
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.
Below are the cheatsheets currently available in this repository: Scikit-Learn Cheatsheet: A comprehensive reference for Scikit-Learn, a popular Machine Learning library in Python. TensorFlow Cheatsheet: A quick reference for TensorFlow, a powerful open-source Machine Learning framework.
These cheat sheets provide most of what you need to understand the Math behind the most common Machine Learning algorithms.
Summary of Machine Learning Algorithms descriptions, advantages and use cases. Inspired by the very good book and articles of MachineLearningMastery, with added math, and ML Pros & Cons of HackingNote. Design inspired by The Probability Cheatsheet of W. Chen. Written by Rémi Canard.
