ml-glossary and Machine-Learning-Cheatsheets

Both tools serve as reference materials for machine learning concepts, making them complements that users could leverage together to gain a broader and potentially deeper understanding of the subject matter, with one being a glossary and the other offering cheatsheets.

ml-glossary
51
Established
Maintenance 0/25
Adoption 10/25
Maturity 16/25
Community 25/25
Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 20/25
Stars: 3,114
Forks: 729
Downloads:
Commits (30d): 0
Language: Python
License: MIT
Stars: 86
Forks: 32
Downloads:
Commits (30d): 0
Language:
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About ml-glossary

bfortuner/ml-glossary

Machine learning glossary

This glossary helps data scientists, machine learning engineers, and students quickly understand complex machine learning concepts. You input a term you need to define, and it provides a concise explanation, often with visuals, code snippets, or equations. It's designed for anyone needing clear, accessible definitions in the field of artificial intelligence.

machine-learning artificial-intelligence data-science technical-education software-engineering

About Machine-Learning-Cheatsheets

MLEveryday/Machine-Learning-Cheatsheets

机器学习备忘录

This collection provides quick reference guides and summaries for key concepts in machine learning and data science. It helps you quickly recall important algorithms, formulas, and methodologies. Anyone studying machine learning, practicing data science, or needing a quick refresher on AI concepts would find this useful.

Machine Learning Study Data Science Reference Deep Learning Concepts AI Education Statistical Modeling

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