Sources à traiter

Catégorie liée : Sources

FRANÇAIS

sources traitées :

• GrandDictionnaire.com
• Google Learning Machine
• Lavery
• legifrance.gouv.fr
• Wikipedia IA
• Termium
• unesco.org
• Manu Passard
• data analytics post
• lesechos.fr
• Blog recherche
• techtarget.com
• 24PM Academy
• Le vocabulaire pour comprendre l'intelligence artificielle
• Glossaire de l'Intelligence Artificielle
• WIKIPEDIA - Glossaire de l'exploration des données V2
• INTERNATIONAL STATISTICAL INSTITUTE
• Université de Paris

À traiter bientôt :

• STATISTICA
• SCIKIT-LEARN

ANGLAIS

Banques ou sources traitées :

• UNSW - The Machine Learning Dictionary
• UNSW - The Artificial Intelligence Dictionary
• UNSW - The NLP Dictionary (Natural Language Processing)
• Two Crows - Glossary of data mining terms
• UNESCO - A lexicon for artificial intelligence
• WIKIPEDIA - Glossary of artificial intelligence
• UTX AUSTIN AUSTIN - Artificial Intelligence Vocabulary
• Datascience Glossary
• Accenture
• Cambridge Glossary
• Wipipedia glossary of AI
• 277 Data Science Key Terms
• DeepAI.org Glossary
• Journal of Machine Learning
• Wikipedia - Outline of machine learning
• BI Encyclopedia PAs intéressant
• 2019 Data Science Dictionary
• 30 Data Science Terms
• Forbes insight
• Big Data A to Z
• Big Data Glossary
• Glossary of common Machine Learning, Statistics and Data Science terms
• Data Analytics Glossary
• Data science glossary
• Data Science Terms and Jargon
• Techopedia online dictionary - Trop varié
• Glossary of Artificial Intelligence in Medicine - trop tard ?
• Wikipedia - List of algorithms - trop spécialisé ?
• Wikipedia Robotics - trop spécialisé - non pertinent?
• dynamicyield.com

Banques ou sources à traiter :

• Wikipedia - Glossary of artificial intelligence - Revoir V3

• Wikipedia Glossary of machine vision - trop spécialisé ?

• https://en.wikipedia.org/wiki/Statistical_classification

• https://en.wikipedia.org/wiki/Machine_learning

NOUVEAU 2021

• http://www.wildml.com/deep-learning-glossary/

• https://acadgild.com/blog/data-science-glossary-deep-learning-key-terms

• https://datafloq.com/abc-big-data-glossary/

• https://ml-cheatsheet.readthedocs.io/en/latest/glossary.html
• http://www.wildml.com/deep-learning-glossary/

• https://towardsdatascience.com/the-deep-learning-ai-dictionary-ade421df39e4

• https://dataanalyticspost.com/lexique/

• https://en.wikipedia.org/wiki/Glossary_of_probability_and_statistics

• https://www.stat.berkeley.edu/~stark/SticiGui/Text/gloss.htm

• https://www.statistics.com/glossaries/

• https://ml-cheatsheet.readthedocs.io/en/latest/glossary.html

SUGGESTIONS GERARD

• https://towardsdatascience.com/ten-deep-learning-concepts-you-should-know-for-data-science-interviews-a77f10bb9662

• https://towardsdatascience.com/120-data-scientist-interview-questions-and-answers-you-should-know-in-2021-b2faf7de8f3e FAIT

• https://towardsdatascience.com/the-importance-of-machine-to-machine-economy-m2m-multi-agent-systems-cbb85c2fd3c2

• https://towardsdatascience.com/data-science-vs-data-analysis-heres-the-difference-4d3da0a90f4

• https://datafranca.org/wiki/images/Crypto.pdf