Catégorie : Notes
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Beware of the Very Random Forest
https://towardsdatascience.com/beware-of-the-very-random-forest-680a0c1132de Beware of the Very Random Forest – Towards Data Science Image by author. You might have used the Random Forest Algorithm for your data science projects and it performs very well with little effort, especially on heterogeneous data.A random forest is made up of an ensemble of decision trees. towardsdatascience.com
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Dboguer les conteneurs .NET distance pragma
https://pragma3-wordpress-com.cdn.ampproject.org/c/s/pragma3.wordpress.com/2020/03/24/deboguer-les-conteneurs-net-a-distance/amp/
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Tensor Processing Units (TPUs) Documentation | Kaggle
https://www.kaggle.com/docs/tpu
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Jigsaw Multilingual Toxic Comment Classification | Kaggle
https://www.kaggle.com/c/jigsaw-multilingual-toxic-comment-classification
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Microsoft Research Uses Transfer Learning to Train Real-World Autonomous Drones
https://towardsdatascience.com/microsoft-research-uses-transfer-learning-to-train-real-world-autonomous-drones-53b3f941768f
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La trousse du marketeur Facebook
https://www.latranchee.com/la-trousse?ref=undefined&utm_source=undefined&utm_medium=affiliation&utm_campaign=affiliation
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Sentiment analysis on #JantaCurfew
https://colab.research.google.com/drive/17iHHiWhJyGd6hWO9S-XO73j3XSFRuQ7G#scrollTo=4puarCk232vs
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Introduction to gRPC | Visual Studio Toolbox | Channel 9
https://channel9.msdn.com/Shows/Visual-Studio-Toolbox/Introduction-to-gRPC
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New Deep Learning Algorithms beyond Backpropagation
https://www.researchgate.net/publication/322617800_New_Deep_Learning_Algorithms_beyond_Backpropagation_IBM_Developers_UnConference_2018_Zurich?fbclid=IwAR3RPi4joB7Q5p3hKZOQ1sPgao1KLenXRC1gCci5jXuGf7RIbiu97biJNac
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Microservices Architecture Tutorial: all you need to get started
https://medium.com/educative/microservices-architecture-tutorial-all-you-need-to-get-started-f059d2e1aeb3
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Guide to Interpretable Machine Learning – Towards Data Science
https://towardsdatascience.com/guide-to-interpretable-machine-learning-d40e8a64b6cf
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The Frameworks that Google, DeepMind, Microsoft and Uber Use to Train Deep Learning Models at Scal
https://towardsdatascience.com/the-frameworks-that-google-deepmind-microsoft-and-uber-use-to-train-deep-learning-models-at-scale-30be6295725
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3 cloud architecture problems that need solutions | InfoWorld
https://www-infoworld-com.cdn.ampproject.org/c/s/www.infoworld.com/article/3531630/3-cloud-architecture-problems-that-need-solutions.amp.html
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Bayesian Neural Networks with TensorFlow Probability
https://towardsdatascience.com/bayesian-neural-networks-with-tensorflow-probability-fbce27d6ef6
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WebAssembly brings extensibility to network proxies | Google Open Source Blog
https://opensource.googleblog.com/2020/03/webassembly-brings-extensibility-to.html?m=1
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You can get my DevOps books free the rest of this month | Jeff Geerling
https://www.jeffgeerling.com/blog/2020/you-can-get-my-devops-books-free-rest-month
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Neural Tangents
https://github.com/google/neural-tangents GitHub – google/neural-tangents: Fast and Easy Infinite Neural Networks in Python NeurIPS 2019 Symposium on Advances in Approximate Bayesian Inference slides (not recorded) and the Bayesian Deep Learning workshop video (1:33) are now available. Neural Tangents is a high-level neural network API for specifying complex, hierarchical, neural networks of both finite and infinite ……
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How to Scrape Multiple Pages of a Website Using a Python Web Scraper
https://medium.com/better-programming/how-to-scrape-multiple-pages-of-a-website-using-a-python-web-scraper-4e2c641cff8
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https://towardsdatascience.com/build-a-web-data-dashboard-in-just-minutes-with-python-d722076aee2b
https://towardsdatascience.com/build-a-web-data-dashboard-in-just-minutes-with-python-d722076aee2b
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Natural language processing examples | Element AI
https://www.elementai.com/news/2020/natural-language-processing-examples?utm_source=linkedin&utm_medium=social&utm_campaign=Brand_Research&utm_content=virtual_assistant_blog_03/10/2020
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13 Amazing Free Chrome Extensions For SEO
https://neilpatel-com.cdn.ampproject.org/c/s/neilpatel.com/blog/seo-chrome-extensions/amp/
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Useful Python libraries for Data Science | Kaggle
https://www.kaggle.com/parulpandey/useful-python-libraries-for-data-science/#data
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https://arxiv.org/abs/2003.00330
https://arxiv.org/abs/2003.00330
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Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data | Uber Engineering Blog
https://eng.uber.com/generative-teaching-networks/
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Google AI Blog: Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning
https://ai.googleblog.com/2020/03/announcing-tensorflow-quantum-open.html?m=1
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The Octo-Bouncer – Electron Dust
https://electrondust.com/2020/03/01/the-octo-bouncer/
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https://knowyourtoolset.com/2020/03/comparing-openapi-swagger-graphql-and-grpc/
https://knowyourtoolset.com/2020/03/comparing-openapi-swagger-graphql-and-grpc/
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DevOps Dojo de Microsoft Services | Premier Developer
https://devblogs.microsoft.com/premier-developer/devops-dojo-de-microsoft-services/?_lrsc=b6958fc1-a886-4d00-901d-cdab38c8a640
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NVIDIA Jetson Nano .img pre-configured for Deep Learning and Computer Vision – PyImageSearch
https://www.pyimagesearch.com/2020/03/04/nvidia-jetson-nano-img-pre-configured-for-deep-learning-and-computer-vision/
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Machine Learning Algorithms: Explained!
https://oliviaklose.azurewebsites.net/machine-learning-11-algorithms-explained/
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Probabilistic Matrix Factorization for Music Recommendation
Code : https://github.com/gbolmier/funk-svd gbolmier/funk-svd: A python fast implementation of the famous SVD algorithm popularized by Simon Funk during Netflix Prize – GitHub Funk SVD for recommendation in a nutshell. We have a huge sparse matrix: storing known ratings for a set of users and items: The idea is to estimate unknown ratings by factorizing the…
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Using neural networks to solve advanced mathematics equations
https://ai.facebook.com/blog/using-neural-networks-to-solve-advanced-mathematics-equations/
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Opinion | Twelve Million Phones, One Dataset, Zero Privacy – The New York Times
https://www.nytimes.com/interactive/2019/12/19/opinion/location-tracking-cell-phone.html
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Top Google AI Tools for Everyone – Towards Data Science
https://towardsdatascience.com/top-google-ai-tools-for-everyone-60346ab7e08
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GitOps Made Simple with Flux
https://thenewstack.io/gitops-made-simple-with-flux/
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Ontologie, graphe de connaissances et web smantique
https://www.youtube.com/watch?v=UlxLBmDk9oM
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Machine learning deployment using Flask
https://www.youtube.com/watch?v=hIq4bVT2ghk
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Transformers are Graph Neural Networks | NTU Graph Deep Learning Lab
https://graphdeeplearning.github.io/post/transformers-are-gnns/
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Top 10 Best Machine Learning Algorithms – Mahi prashanth – Medium
https://medium.com/@mahiprashanth866/top-10-best-machine-learning-algorithms-acd9fd2c0471
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Google AI Blog: Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer
https://1.bp.blogspot.com/-o4oiOExxq1s/Xk26XPC3haI/AAAAAAAAFU8/NBlvOWB84L0PTYy9TzZBaLf6fwPGJTR0QCLcBGAsYHQ/s640/image3.gif https://ai.googleblog.com/2020/02/exploring-transfer-learning-with-t5.html?m=1
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Research: The Average Age of a Successful Startup Founder Is 45
https://hbr.org/2018/07/research-the-average-age-of-a-successful-startup-founder-is-45?utm_source=facebook.com&utm_medium=socialmedia&utm_campaign=bdcsocial
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Cloud ETL made Easy in Azure with Data Factory and Databricks
https://techcommunity.microsoft.com/t5/azure-data-factory/etl-in-the-cloud-is-made-easy-together-with-azure-data-factory/ba-p/1189736
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Landmark Relic of Silent Film Hauntingly Upscaled to 4K by Artificial Intelligence
Denis Shiryaev used AI to upscale and colorize 1911 footage of New York. In the previous footage upscale "L’arrivée d’un train en gare de La Ciotat", Shiryaev has used two algorithms: Gigapixel AI from Topaz Labs and Depth-Aware Video Frame Interpolation, developed by a team of researchers and Google engineers. Now Shiryaev try DeOldify NN…
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The Engine of the Neural Network: the Backpropagation Equation
https://towardsdatascience.com/the-engine-of-the-neural-network-the-backpropagation-equation-cf2dd1be2477
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Non-Linear Polynomial Regression
https://www.creationcodes.org/2020/02/learn-polynomial-regression-non-linear-regression-in-machine-learning.html?m=1
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The Web Developer’s SEO Cheat Sheet NEW! Updated for 2020 – Moz
https://moz.com/learn/seo/seo-cheat-sheet
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Cloud Design Patterns – Azure Architecture Center | Microsoft Docs
https://docs.microsoft.com/en-us/azure/architecture/patterns/
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https://www.elastic.co/fr/blog/monitoring-airport-security-operations-with-canvas-and-elasticsearch?utm_medium=social&utm_source=linkedin&utm_content=1582326018
https://www.elastic.co/fr/blog/monitoring-airport-security-operations-with-canvas-and-elasticsearch?utm_medium=social&utm_source=linkedin&utm_content=1582326018
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