Catégorie : Notes
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Latest Computer Vision Trends from CVPR 2019 – Towards Data Science
https://towardsdatascience.com/latest-computer-vision-trends-from-cvpr-2019-c07806dd570b Latest Computer Vision Trends from CVPR 2019 – Towards Data Science The 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) was held this year from June 16- June 20. CVPR is one of the world’s top three academic conferences in the field of… towardsdatascience.com
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https://github.com/guillaume-chevalier/How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
https://github.com/guillaume-chevalier/How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
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Approaching (almost) Any NLP Problem
https://www.slideshare.net/mobile/abhishekkrthakur/approaching-almost-any-nlp-problem
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TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
"Text summarization aims to extract essential information from a piece of text and transform it into a concise version. Existing unsupervised abstractive summarization models use recurrent neural networks framework and ignore abundant unlabeled corpora resources. In order to address these issues, we propose TED, a transformer-based unsupervised summarization system with pretraining on large-scale data. We…
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Personality Tests Are the Astrology of the Office
https://www-nytimes-com.cdn.ampproject.org/c/s/www.nytimes.com/2019/09/17/style/personality-tests-office.amp.html
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Understand Neural Networks & Model Generalization – Towards Data Science
https://towardsdatascience.com/understand-neural-networks-model-generalization-7baddf1c48ca
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Artificial intelligence requires trusted data, and a healthy DataOps ecosystem | ZDNet
https://www-zdnet-com.cdn.ampproject.org/c/s/www.zdnet.com/google-amp/article/artificial-intelligence-requires-trusted-data-and-a-healthy-dataops-ecosystem/
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TextAugmentation-GPT2
https://github.com/prakhar21/TextAugmentation-GPT2
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ASP.NET Blog | A new experiment: Call .NET gRPC services from the browser with gRPC-Web
https://devblogs.microsoft.com/aspnet/grpc-web-experiment/
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OpenCV Vehicle Detection, Tracking, and Speed Estimation – PyImageSearch
https://www.pyimagesearch.com/2019/12/02/opencv-vehicle-detection-tracking-and-speed-estimation/
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The Big Data Landscape
http://dfkoz.com/ai-data-landscape/
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Demystifying the Four Personas of the Chief Technology Officer – Samantha Searle
https://blogs.gartner.com/samantha_searle/2020/01/27/demystifying-the-four-personas-of-the-cto/
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This is the Architecture Powering Machine Learning at LinkedIn
https://towardsdatascience.com/this-is-the-architecture-powering-machine-learning-at-linkedin-c8d8da29bbf1
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Validation Set Over-fitting because of Random Initialization & Selection Bias
https://towardsdatascience.com/validation-set-over-fitting-because-of-random-initialization-selection-bias-cbb30d50095d
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How to Compare Machine Learning Algorithms – Towards Data Science
https://towardsdatascience.com/how-to-compare-machine-learning-algorithms-ccc266c4777
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https://www.glabstat.com/post/r-graphics-and-codes
https://www.glabstat.com/post/r-graphics-and-codes
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Understanding how to port your ASP.NET web apps to ASP.NET Core | Premier Developer
https://devblogs.microsoft.com/premier-developer/understanding-how-to-port-your-asp-net-web-apps-to-asp-net-core/?_lrsc=3b509618-7a5d-4fb5-9349-3e9c0e42f574
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mBART, a new seq2seq multilingual pretraining system for machine translation across 25 languages
Facebook release multilingual Bart "New research! We’re releasing mBART, a new seq2seq multilingual pretraining system for machine translation across 25 languages. It gives significant improvements for document-level translation and low-resource languages. Read our paper to learn more: https://arxiv.org/pdf/2001.08210.pdf"
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Monk_Object_Detection/Example – Indoor Image Object Detection and Tagging.ipynb at master · Tessellate-Imaging/Monk_Object_Detection · GitHub
Experimented with multi-gpu training of indoor object detector using RetinaNet and Open-Images – V5 dataset The detector consists of 24 classes such as table, bed, sofas, home and kitchen appliances, etc. The training ran on AWS P3.x large instances4 Nvidia V100 GPUS 244 GB CPU RAM 32 CPUs Training time – 5 hours for 10…
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Python Syntax – Take your first step in the Python world – DataFlair
https://data-flair.training/blogs/python-syntax-semantics/
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Bactoneurons: Artificial Neural Networks made from engineered bacteria
https://medium.com/@gamer104h/bactoneurons-artificial-neural-networks-made-from-engineered-bacteria-4bbb36377868
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Nine Performance Tips for Azure App Services
https://www.telerik.com/blogs/nine-performance-tips-for-azure-app-services
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Everybody’s Talkin’: Let Me Talk as You Want
https://wywu.github.io/projects/EBT/EBT.html
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GLabStat
https://www.glabstat.com/post/path-analysis
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https://towardsdatascience.com/how-to-be-an-ai-idiot-8559c65d91a8
https://towardsdatascience.com/how-to-be-an-ai-idiot-8559c65d91a8
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This is how you put the data in Data Science! – Towards Data Science
https://towardsdatascience.com/this-is-how-you-put-the-data-in-data-science-5411c8a45122
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YOLACT with Google Colab — Immersive Limit
https://www.immersivelimit.com/tutorials/yolact-with-google-colab
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Quanta Magazine
https://www.quantamagazine.org/an-idea-from-physics-helps-ai-see-in-higher-dimensions-20200109/
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Sentiment Classification with BERT Embeddings – Prakhar Mishra – Medium
https://medium.com/@prakhar.mishra/sentiment-classification-with-bert-embeddings-56607b45daad
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Amazon’s AutoGluon produces AI models with as little as 3 lines of code | VentureBeat
https://venturebeat.com/2020/01/09/amazons-autogluon-produces-ai-models-with-as-little-as-three-lines-of-code/
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O’Reilly ebook: Data Science and Engineering at Enterprise Scale
https://www.ibm.com/account/reg/ca-en/signup?formid=urx-36707
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IBM Registration form
https://www.ibm.com/account/reg/ca-en/signup?formid=urx-36707
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Why I Prefer Trunk-Based Development Over Feature Branching and GitFlow – DZone DevOps
https://dzone.com/articles/why-i-prefer-trunk-based-development-over-feature
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Data Engineer vs. Data Scientist | DiscoverDataScience.org
https://www.discoverdatascience.org/articles/data-engineer-vs-data-scientist/
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This Israeli Unicorn is Transforming Human-Machine Interaction with Groundbreaking AI – StartupHub.ai
https://www.startuphub.ai/this-israeli-unicorn-is-transforming-human-machine-interaction-with-groundbreaking-ai/
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The Best Machine Learning books for 2020— Machine Learning for Beginners.
https://becominghuman.ai/four-books-to-start-with-machine-learning-machine-learning-for-beginners-2e9d289642d6
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Anatomy of an AI System
https://anatomyof.ai/
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ClaoudML – Free Data Science and Machine Learning Resources
https://www.claoudml.com/
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Classify A Rare Event Using 5 Machine Learning Algorithms
https://towardsdatascience.com/classifying-rare-events-using-five-machine-learning-techniques-fab464573233
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Meet AdaMod: a new deep learning optimizer with memory
https://medium.com/@lessw/meet-adamod-a-new-deep-learning-optimizer-with-memory-f01e831b80bd
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Quadratic Payments: A Primer
https://vitalik.ca/general/2019/12/07/quadratic.html
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Learn how to make a Cross Validation framework
https://youtube.com/watch?v=2wQlD46eICE
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GitHub – Tessellate-Imaging/monk_v1: Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
https://github.com/Tessellate-Imaging/monk_v1
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Concevoir graphiquement vos templates ARM
http://espacenuagic.com/2019/12/04/concevoir-graphiquement-vos-templates-arm/
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Accelerating DevOps with GitHub and Azure | Blog | Microsoft Azure
https://azure.microsoft.com/en-us/blog/accelerating-devops-with-github-and-azure/
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Data Science and Machine Learning : Exploratory Data Analysis (EDA)
https://manisha-sirsat.blogspot.com/2019/12/exploratory-data-analysis.html?m=1
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What Is OKR? The Goal-Setting System To Scale Up Your Business – FourWeekMBA
https://fourweekmba.com/what-is-okr/
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Baidu has a new trick for teaching AI the meaning of language – MIT Technology Review
https://www.technologyreview.com/s/614996/ai-baidu-ernie-google-bert-natural-language-glue/ https://github.com/PaddlePaddle/ERNIE