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Notes 

Google’s BERT changing the NLP Landscape

11 décembre 20194 mai 2020 Francis

https://medium.com/sciforce/googles-bert-changing-the-nlp-landscape-5f4a7bf65cc5

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Malicious packages found to be typo-squatting in Python Package Index | Snyk

10 décembre 2019 Francis

https://snyk.io/blog/malicious-packages-found-to-be-typo-squatting-in-pypi/

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Notes 

GitHub – alirezadir/Production-Level-Deep-Learning: A guideline for building practical production-level deep learning systems to be deployed in real world applications.

10 décembre 2019 Francis

https://github.com/alirezadir/Production-Level-Deep-Learning

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Understanding searches better than ever before

10 décembre 2019 Francis

https://www.blog.google/products/search/search-language-understanding-bert

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We made Windows Server Core container images >40% smaller

9 décembre 2019 Francis

They are now >40% smaller! The Windows Server team has already published the new images in the Server Core Insider

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Announcing the preview of Azure Spot Virtual Machines | Blog | Microsoft Azure

9 décembre 2019 Francis

https://azure.microsoft.com/en-us/blog/announcing-the-preview-of-azure-spot-virtual-machines/

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Remote Debugging a .NET Core Linux app in WSL2 from Visual Studio on Windows – Scott Hanselman

9 décembre 2019 Francis

https://www.hanselman.com/blog/RemoteDebuggingANETCoreLinuxAppInWSL2FromVisualStudioOnWindows.aspx

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Biased Algorithms Are Easier to Fix Than Biased People – The New York Times

7 décembre 2019 Francis

https://www.nytimes.com/2019/12/06/business/algorithm-bias-fix.html#click=https://t.co/lkLEpfDwF9

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Data Science Cheatsheets

6 décembre 2019 Francis

https://github.com/abhat222/Data-Science–Cheat-Sheet Artificial Intelligence Big Data Data Engineering Data Mining Data Science Data Visualization Data Warehouse Deep Learning DevOps Docker &

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GitHub – LutzOfficial/100pMLbookFRglossary

6 décembre 2019 Francis

https://github.com/LutzOfficial/100pMLbookFRglossary

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  • GitHub – jalammar/ecco: Visualize and explore NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2).
  • Data Science Infographic
  • SIRUS: Stable and Interpretable RUle Set
  • CLIP: Connecting Text and Images
  • Build Your own Recommendation Engine-Netflix Demystified: Demo+Code

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