{"id":412853,"date":"2024-06-29T22:47:15","date_gmt":"2024-06-29T22:47:15","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=412853"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=412853","title":{"rendered":"<span>DataScience Digest \u2014 12.08.21<\/span>"},"content":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/r\/w1560\/getpro\/habr\/upload_files\/30a\/e4e\/a98\/30ae4ea9801e8f75d4340c51c2646e62.png\" width=\"1024\" height=\"512\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/30a\/e4e\/a98\/30ae4ea9801e8f75d4340c51c2646e62.png\"\/><figcaption><\/figcaption><\/figure>\n<p>\u041f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e \u0432\u0441\u0435\u0445!<\/p>\n<p>\u0412\u0441\u0442\u0440\u0435\u0447\u0430\u0439\u0442\u0435 \u0441\u0432\u0435\u0436\u0438\u0439 \u0432\u044b\u043f\u0443\u0441\u043a\u00a0<a href=\"https:\/\/dataphoenix.info\/tag\/digest\/\" rel=\"noopener noreferrer nofollow\">\u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430<\/a>\u00a0\u043f\u043e\u043b\u0435\u0437\u043d\u044b\u0445 \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u043e\u0432 \u0438\u0437 \u043c\u0438\u0440\u0430 Data Science &amp; Machine Learning \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439\u00a0<a href=\"https:\/\/dataphoenix.info\/\" rel=\"noopener noreferrer nofollow\">Data Phoenix<\/a>\u00a0\u0438 \u043d\u0435 \u0437\u0430\u0431\u044b\u0432\u0430\u0439\u0442\u0435 \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0442\u044c\u0441\u044f \u043d\u0430 \u043d\u0430\u0448\u00a0<a href=\"https:\/\/t.me\/DataPhoenix\" rel=\"noopener noreferrer nofollow\"><u>Telegram-\u043a\u0430\u043d\u0430\u043b<\/u><\/a>.<\/p>\n<p>\u041d\u0430\u043f\u043e\u043c\u0438\u043d\u0430\u044e, \u0447\u0442\u043e 17 \u0430\u0432\u0433\u0443\u0441\u0442\u0430 \u0431\u0443\u0434\u0443 \u043f\u0440\u043e\u0432\u043e\u0434\u0438\u0442\u044c \u0432\u0435\u0431\u0438\u043d\u0430\u0440\u00a0<a href=\"https:\/\/dataphoenix.info\/the-a-z-of-data-introduction-to-mlops\/\" rel=\"noopener noreferrer nofollow\">&#171;The A-Z of Data: Introduction to MLOps&#187;<\/a>. \u0412 \u0435\u0433\u043e \u0440\u0430\u043c\u043a\u0430\u0445 \u043c\u044b \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c, \u0447\u0442\u043e \u0442\u0430\u043a\u043e\u0435 MLOps, \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u043f\u0440\u0438\u043d\u0446\u0438\u043f\u044b \u0438 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438, \u043b\u0443\u0447\u0448\u0438\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b. \u041c\u044b \u043d\u0430\u0447\u043d\u0435\u043c \u0441 \u043f\u0440\u043e\u0441\u0442\u043e\u0433\u043e \u0436\u0438\u0437\u043d\u0435\u043d\u043d\u043e\u0433\u043e \u0446\u0438\u043a\u043b\u0430 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 ML \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u0438 \u0437\u0430\u043a\u043e\u043d\u0447\u0438\u043c \u0441\u043b\u043e\u0436\u043d\u044b\u043c, \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u043c, \u0446\u0438\u043a\u043b\u043e\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0430\u043c \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u0442\u044c MLOps. \u0414\u0435\u0442\u0430\u043b\u0438 \u0438 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u0430\u0446\u0438\u044f\u00a0<a href=\"https:\/\/dataphoenix.info\/the-a-z-of-data-introduction-to-mlops\/\" rel=\"noopener noreferrer nofollow\">\u0437\u0434\u0435\u0441\u044c<\/a>.<\/p>\n<h3>\u0421\u0442\u0430\u0442\u044c\u0438<\/h3>\n<p><a href=\"https:\/\/deepmind.com\/blog\/article\/building-architectures-that-can-handle-the-worlds-data\" rel=\"noopener noreferrer nofollow\"><strong>Building Architectures that Can Handle the World\u2019s Data<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e Perceiver \u043e\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u044b DeepMind.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/make-a-rock-solid-ml-model-using-sklearn-pipeline-926f2ccf4706\" rel=\"noopener noreferrer nofollow\"><strong>Make a Rock-Solid ML Model Using Sklearn Pipeline<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u0442\u043e\u043c, \u043f\u043e\u0447\u0435\u043c\u0443, \u043a\u0430\u043a \u0438 \u043a\u043e\u0433\u0434\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c Sklearn Pipeline.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/continuous-integration-continuous-deployment-tools-for-machine-learning\" rel=\"noopener noreferrer nofollow\"><strong>Continuous Integration and Continuous Deployment (CI\/CD) Tools for Machine Learning<\/strong><\/a><strong> &#8212;<\/strong> \u043e\u0431\u0437\u043e\u0440 CI\/CD \u0442\u0443\u043b\u043e\u0432 \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/how-to-detect-seasonality-outliers-and-changepoints-in-your-time-series-5d0901498cff\" rel=\"noopener noreferrer nofollow\"><strong>How to Detect Seasonality, Outliers, and Changepoints in Your Time Series<\/strong><\/a> &#8212; \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 Kats \u0434\u043b\u044f \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u0439 \u0432 \u0434\u0430\u043d\u043d\u044b\u0445.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/open-mlops-open-source-production-machine-learning-f4080f02e9f0\" rel=\"noopener noreferrer nofollow\"><strong>Open MLOps: Open Source Production Machine Learning<\/strong><\/a> &#8212; \u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e\u0431 Open MLOps.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/mlops-at-home-part1-4c60db29d4a2\" rel=\"noopener noreferrer nofollow\"><strong>Creating a Modern, Open Source MLOps Stack at Home<\/strong><\/a> &#8212; \u0421\u0442\u0430\u0442\u044c\u044f \u043f\u0440\u043e MLOps \u0438 \u043d\u0430\u0431\u043e\u0440\u0435 \u0442\u0443\u043b\u043e\u0432 \u0434\u043b\u044f \u043d\u0435\u0433\u043e.<\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/pulse\/data-monetization-101-john-farrall\/\" rel=\"noopener noreferrer nofollow\"><strong>Data Monetization 101<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u0442\u043e\u043c, \u043a\u0430\u043a \u043c\u043e\u0436\u043d\u043e \u043c\u043e\u043d\u0435\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435.<\/p>\n<p><a href=\"https:\/\/openai.com\/blog\/triton\/\" rel=\"noopener noreferrer nofollow\"><strong>Introducing Triton: Open-Source GPU Programming for Neural Networks<\/strong><\/a> &#8212; \u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e Triton, \u043d\u043e\u0432\u043e\u043c \u044f\u0437\u044b\u043a\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043e\u0442 OpenAI, \u043f\u043e\u0445\u043e\u0436\u0435\u043c \u043d\u0430 Python.<\/p>\n<p><a href=\"https:\/\/eng.uber.com\/pinot-real-time-ingestion\/\" rel=\"noopener noreferrer nofollow\"><strong>Pinot Real-Time Ingestion with Cloud Segment Storage<\/strong><\/a> &#8212; Uber \u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438.<\/p>\n<h3>\u041d\u0430\u0443\u0447\u043d\u044b\u0435 \u0441\u0442\u0430\u0442\u044c\u0438<\/h3>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.12423\" rel=\"noopener noreferrer nofollow\"><strong>Alias-Free Generative Adversarial Networks<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043d\u044b\u0445 \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u044f\u0445 \u0433\u0435\u043d\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 \u0431\u0435\u0437 \u043f\u0441\u0435\u0432\u0434\u043e\u043d\u0438\u043c\u043e\u0432.<\/p>\n<p><a href=\"https:\/\/iterative-refinement.github.io\" rel=\"noopener noreferrer nofollow\"><strong>Image Super-Resolution via Iterative Refinement<\/strong><\/a><strong> <\/strong>&#8212; \u0441\u0432\u0435\u0440\u0445\u0432\u044b\u0441\u043e\u043a\u043e\u0435 \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0438\u0442\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0443\u0442\u043e\u0447\u043d\u0435\u043d\u0438\u044f. <\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2108.02774\" rel=\"noopener noreferrer nofollow\"><strong>Sketch Your Own GAN<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043f\u0440\u043e GAN, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u0438\u0437 \u043d\u0430\u0431\u0440\u043e\u0441\u043a\u043e\u0432.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2108.02483\" rel=\"noopener noreferrer nofollow\"><strong>MixLacune: Segmentation of Lacunes of Presumed Vascular Origin<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e MixLacune &#8212; \u0434\u0432\u0443\u0445\u044d\u0442\u0430\u043f\u043d\u043e\u043c \u043f\u043e\u0434\u0445\u043e\u0434\u0435 \u043a \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e \u043b\u0430\u043a\u0443\u043d.<\/p>\n<p><a href=\"https:\/\/stylegan-nada.github.io\/\" rel=\"noopener noreferrer nofollow\"><strong>StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0438\u0438 \u0433\u0435\u043d\u0435\u0440\u0430\u0442\u043e\u0440\u043e\u0432 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.<\/p>\n<p><a href=\"https:\/\/nex-mpi.github.io\/\" rel=\"noopener noreferrer nofollow\"><strong>NeX: Real-Time View Synthesis with Neural Basis Expansion<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e NeX, \u043d\u043e\u0432\u043e\u043c \u043c\u0435\u0442\u043e\u0434\u0435 \u0441\u0438\u043d\u0442\u0435\u0437\u0430 \u044d\u0444\u0444\u0435\u043a\u0442\u043e\u0432 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.13686\" rel=\"noopener noreferrer nofollow\"><strong>AutoTinyBERT: Automatic Hyper-Parameter Optimization for Efficient Pre-Trained Language Models<\/strong><\/a> &#8212; \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u043e\u0438\u0441\u043a \u0433\u0438\u043f\u0435\u0440\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2101.10384\" rel=\"noopener noreferrer nofollow\"><strong>Droidlet: Modular, Heterogenous, Multi-Modal Agents<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 Droidlet &#8212; \u043c\u043e\u0434\u0443\u043b\u044c\u043d\u043e\u0439, \u0433\u0435\u0442\u0435\u0440\u043e\u0433\u0435\u043d\u043d\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0435 \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u0430\u0433\u0435\u043d\u0442\u043e\u0432 \u0438 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 \u0434\u043b\u044f \u0438\u0445 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u043d\u0430 \u043f\u0435\u0440\u0435\u0441\u0435\u0447\u0435\u043d\u0438\u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430, \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u0440\u043e\u0431\u043e\u0442\u043e\u0442\u0435\u0445\u043d\u0438\u043a\u0438.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.12292\" rel=\"noopener noreferrer nofollow\"><strong>Contextual Transformer Networks for Visual Recognition<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0439 \u043c\u043e\u0434\u0443\u043b\u044c &#171;\u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440&#187; \u0434\u043b\u044f \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.<\/p>\n<h3>\u041a\u0443\u0440\u0441\u044b<\/h3>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh\" rel=\"noopener noreferrer nofollow\"><strong>Designing, Visualizing and Understanding Deep Neural Networks<\/strong><\/a> &#8212; \u043a\u0443\u0440\u0441 \u043f\u0440\u043e Deep Neural Networks \u043e\u0442 UC Berkeley.<\/p>\n<h3>\u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b<\/h3>\n<p><a href=\"https:\/\/github.com\/ZumoLabs\/zpy\" rel=\"noopener noreferrer nofollow\"><strong>ZPY [by Zumo Labs]<\/strong><\/a> &#8212; \u0442\u0443\u043b\u0437\u0430 \u0434\u043b\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u0441\u0438\u043d\u0442\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0434\u0430\u043d\u043d\u044b\u0445.<\/p>\n<hr\/>\n<p>\u0421\u043f\u0430\u0441\u0438\u0431\u043e, \u0447\u0442\u043e \u0434\u043e\u0447\u0438\u0442\u0430\u043b\u0438 \u044d\u0442\u043e\u0442 \u0432\u044b\u043f\u0443\u0441\u043a. \u041d\u0430\u0434\u0435\u044e\u0441\u044c, \u043a\u0430\u0436\u0434\u044b\u0439 \u043d\u0430\u0448\u0435\u043b \u0434\u043b\u044f \u0441\u0435\u0431\u044f \u0447\u0442\u043e-\u0442\u043e \u043f\u043e\u043b\u0435\u0437\u043d\u043e\u0435. \u0411\u0443\u0434\u0443 \u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u0435\u043d \u0437\u0430 \u043b\u044e\u0431\u044b\u0435 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430.<\/p>\n<p>\u041f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u044f\u0439\u0442\u0435\u0441\u044c \u043a\u00a0<a href=\"https:\/\/t.me\/DataPhoenix\" rel=\"noopener noreferrer nofollow\"><u>Telegram-\u043a\u0430\u043d\u0430\u043b\u0443<\/u><\/a>\u00a0\u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430 \u0438 \u0435\u0433\u043e \u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0430\u043c \u0432 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445:\u00a0<a href=\"https:\/\/twitter.com\/Data_Phoenix\" rel=\"noopener noreferrer nofollow\"><u>Twitter<\/u><\/a>,\u00a0<a href=\"https:\/\/www.facebook.com\/DataPhoenix.info\" rel=\"noopener noreferrer nofollow\"><u>Facebook<\/u><\/a>, \u0430 \u0442\u0430\u043a\u0436\u0435 \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u043d\u0430\u0448\u0443 \u0435\u0436\u0435\u043d\u0435\u0434\u0435\u043b\u044c\u043d\u0443\u044e\u00a0<a href=\"https:\/\/dataphoenix.info\/subscribe\/\" rel=\"noopener noreferrer nofollow\">\u0440\u0430\u0441\u0441\u044b\u043b\u043a\u0443<\/a>.<\/p>\n<p>\u2190\u00a0<a href=\"https:\/\/habr.com\/ru\/post\/571376\/\" rel=\"noopener noreferrer nofollow\">\u041f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0439 \u0432\u044b\u043f\u0443\u0441\u043a<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/572592\/\"> https:\/\/habr.com\/ru\/articles\/572592\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div><!--[--><!--]--><\/div>\n<div id=\"post-content-body\">\n<div>\n<div class=\"article-formatted-body article-formatted-body article-formatted-body_version-2\">\n<div xmlns=\"http:\/\/www.w3.org\/1999\/xhtml\">\n<figure class=\"full-width\"><figcaption><\/figcaption><\/figure>\n<p>\u041f\u0440\u0438\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e \u0432\u0441\u0435\u0445!<\/p>\n<p>\u0412\u0441\u0442\u0440\u0435\u0447\u0430\u0439\u0442\u0435 \u0441\u0432\u0435\u0436\u0438\u0439 \u0432\u044b\u043f\u0443\u0441\u043a\u00a0<a href=\"https:\/\/dataphoenix.info\/tag\/digest\/\" rel=\"noopener noreferrer nofollow\">\u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430<\/a>\u00a0\u043f\u043e\u043b\u0435\u0437\u043d\u044b\u0445 \u043c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u043e\u0432 \u0438\u0437 \u043c\u0438\u0440\u0430 Data Science &amp; Machine Learning \u043f\u043e\u0434\u0433\u043e\u0442\u043e\u0432\u043b\u0435\u043d\u043d\u044b\u0439 \u043a\u043e\u043c\u0430\u043d\u0434\u043e\u0439\u00a0<a href=\"https:\/\/dataphoenix.info\/\" rel=\"noopener noreferrer nofollow\">Data Phoenix<\/a>\u00a0\u0438 \u043d\u0435 \u0437\u0430\u0431\u044b\u0432\u0430\u0439\u0442\u0435 \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0442\u044c\u0441\u044f \u043d\u0430 \u043d\u0430\u0448\u00a0<a href=\"https:\/\/t.me\/DataPhoenix\" rel=\"noopener noreferrer nofollow\"><u>Telegram-\u043a\u0430\u043d\u0430\u043b<\/u><\/a>.<\/p>\n<p>\u041d\u0430\u043f\u043e\u043c\u0438\u043d\u0430\u044e, \u0447\u0442\u043e 17 \u0430\u0432\u0433\u0443\u0441\u0442\u0430 \u0431\u0443\u0434\u0443 \u043f\u0440\u043e\u0432\u043e\u0434\u0438\u0442\u044c \u0432\u0435\u0431\u0438\u043d\u0430\u0440\u00a0<a href=\"https:\/\/dataphoenix.info\/the-a-z-of-data-introduction-to-mlops\/\" rel=\"noopener noreferrer nofollow\">&#171;The A-Z of Data: Introduction to MLOps&#187;<\/a>. \u0412 \u0435\u0433\u043e \u0440\u0430\u043c\u043a\u0430\u0445 \u043c\u044b \u0440\u0430\u0441\u0441\u043c\u043e\u0442\u0440\u0438\u043c, \u0447\u0442\u043e \u0442\u0430\u043a\u043e\u0435 MLOps, \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0435 \u043f\u0440\u0438\u043d\u0446\u0438\u043f\u044b \u0438 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438, \u043b\u0443\u0447\u0448\u0438\u0435 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b \u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u044b\u0435 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b. \u041c\u044b \u043d\u0430\u0447\u043d\u0435\u043c \u0441 \u043f\u0440\u043e\u0441\u0442\u043e\u0433\u043e \u0436\u0438\u0437\u043d\u0435\u043d\u043d\u043e\u0433\u043e \u0446\u0438\u043a\u043b\u0430 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 ML \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u0438 \u0437\u0430\u043a\u043e\u043d\u0447\u0438\u043c \u0441\u043b\u043e\u0436\u043d\u044b\u043c, \u043c\u0430\u043a\u0441\u0438\u043c\u0430\u043b\u044c\u043d\u043e \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u043c, \u0446\u0438\u043a\u043b\u043e\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0430\u043c \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0440\u0435\u0430\u043b\u0438\u0437\u043e\u0432\u0430\u0442\u044c MLOps. \u0414\u0435\u0442\u0430\u043b\u0438 \u0438 \u043e\u0431\u044f\u0437\u0430\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u0430\u044f \u0440\u0435\u0433\u0438\u0441\u0442\u0440\u0430\u0446\u0438\u044f\u00a0<a href=\"https:\/\/dataphoenix.info\/the-a-z-of-data-introduction-to-mlops\/\" rel=\"noopener noreferrer nofollow\">\u0437\u0434\u0435\u0441\u044c<\/a>.<\/p>\n<h3>\u0421\u0442\u0430\u0442\u044c\u0438<\/h3>\n<p><a href=\"https:\/\/deepmind.com\/blog\/article\/building-architectures-that-can-handle-the-worlds-data\" rel=\"noopener noreferrer nofollow\"><strong>Building Architectures that Can Handle the World\u2019s Data<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e Perceiver \u043e\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u044b DeepMind.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/make-a-rock-solid-ml-model-using-sklearn-pipeline-926f2ccf4706\" rel=\"noopener noreferrer nofollow\"><strong>Make a Rock-Solid ML Model Using Sklearn Pipeline<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u0442\u043e\u043c, \u043f\u043e\u0447\u0435\u043c\u0443, \u043a\u0430\u043a \u0438 \u043a\u043e\u0433\u0434\u0430 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c Sklearn Pipeline.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/continuous-integration-continuous-deployment-tools-for-machine-learning\" rel=\"noopener noreferrer nofollow\"><strong>Continuous Integration and Continuous Deployment (CI\/CD) Tools for Machine Learning<\/strong><\/a><strong> &#8212;<\/strong> \u043e\u0431\u0437\u043e\u0440 CI\/CD \u0442\u0443\u043b\u043e\u0432 \u0434\u043b\u044f \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/how-to-detect-seasonality-outliers-and-changepoints-in-your-time-series-5d0901498cff\" rel=\"noopener noreferrer nofollow\"><strong>How to Detect Seasonality, Outliers, and Changepoints in Your Time Series<\/strong><\/a> &#8212; \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 Kats \u0434\u043b\u044f \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0430\u043d\u043e\u043c\u0430\u043b\u0438\u0439 \u0432 \u0434\u0430\u043d\u043d\u044b\u0445.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/open-mlops-open-source-production-machine-learning-f4080f02e9f0\" rel=\"noopener noreferrer nofollow\"><strong>Open MLOps: Open Source Production Machine Learning<\/strong><\/a> &#8212; \u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e\u0431 Open MLOps.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/mlops-at-home-part1-4c60db29d4a2\" rel=\"noopener noreferrer nofollow\"><strong>Creating a Modern, Open Source MLOps Stack at Home<\/strong><\/a> &#8212; \u0421\u0442\u0430\u0442\u044c\u044f \u043f\u0440\u043e MLOps \u0438 \u043d\u0430\u0431\u043e\u0440\u0435 \u0442\u0443\u043b\u043e\u0432 \u0434\u043b\u044f \u043d\u0435\u0433\u043e.<\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/pulse\/data-monetization-101-john-farrall\/\" rel=\"noopener noreferrer nofollow\"><strong>Data Monetization 101<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u0442\u043e\u043c, \u043a\u0430\u043a \u043c\u043e\u0436\u043d\u043e \u043c\u043e\u043d\u0435\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0434\u0430\u043d\u043d\u044b\u0435.<\/p>\n<p><a href=\"https:\/\/openai.com\/blog\/triton\/\" rel=\"noopener noreferrer nofollow\"><strong>Introducing Triton: Open-Source GPU Programming for Neural Networks<\/strong><\/a> &#8212; \u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e Triton, \u043d\u043e\u0432\u043e\u043c \u044f\u0437\u044b\u043a\u0435 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043e\u0442 OpenAI, \u043f\u043e\u0445\u043e\u0436\u0435\u043c \u043d\u0430 Python.<\/p>\n<p><a href=\"https:\/\/eng.uber.com\/pinot-real-time-ingestion\/\" rel=\"noopener noreferrer nofollow\"><strong>Pinot Real-Time Ingestion with Cloud Segment Storage<\/strong><\/a> &#8212; Uber \u043e \u0440\u0430\u0431\u043e\u0442\u0435 \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438.<\/p>\n<h3>\u041d\u0430\u0443\u0447\u043d\u044b\u0435 \u0441\u0442\u0430\u0442\u044c\u0438<\/h3>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.12423\" rel=\"noopener noreferrer nofollow\"><strong>Alias-Free Generative Adversarial Networks<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u043d\u044b\u0445 \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u044f\u0445 \u0433\u0435\u043d\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 \u0431\u0435\u0437 \u043f\u0441\u0435\u0432\u0434\u043e\u043d\u0438\u043c\u043e\u0432.<\/p>\n<p><a href=\"https:\/\/iterative-refinement.github.io\" rel=\"noopener noreferrer nofollow\"><strong>Image Super-Resolution via Iterative Refinement<\/strong><\/a><strong> <\/strong>&#8212; \u0441\u0432\u0435\u0440\u0445\u0432\u044b\u0441\u043e\u043a\u043e\u0435 \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0438\u0442\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0443\u0442\u043e\u0447\u043d\u0435\u043d\u0438\u044f. <\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2108.02774\" rel=\"noopener noreferrer nofollow\"><strong>Sketch Your Own GAN<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043f\u0440\u043e GAN, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0441\u043e\u0437\u0434\u0430\u0432\u0430\u0442\u044c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u0438\u0437 \u043d\u0430\u0431\u0440\u043e\u0441\u043a\u043e\u0432.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2108.02483\" rel=\"noopener noreferrer nofollow\"><strong>MixLacune: Segmentation of Lacunes of Presumed Vascular Origin<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e MixLacune &#8212; \u0434\u0432\u0443\u0445\u044d\u0442\u0430\u043f\u043d\u043e\u043c \u043f\u043e\u0434\u0445\u043e\u0434\u0435 \u043a \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e \u043b\u0430\u043a\u0443\u043d.<\/p>\n<p><a href=\"https:\/\/stylegan-nada.github.io\/\" rel=\"noopener noreferrer nofollow\"><strong>StyleGAN-NADA: CLIP-Guided Domain Adaptation of Image Generators<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0439 \u043c\u0435\u0442\u043e\u0434 \u0430\u0434\u0430\u043f\u0442\u0430\u0446\u0438\u0438 \u0433\u0435\u043d\u0435\u0440\u0430\u0442\u043e\u0440\u043e\u0432 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.<\/p>\n<p><a href=\"https:\/\/nex-mpi.github.io\/\" rel=\"noopener noreferrer nofollow\"><strong>NeX: Real-Time View Synthesis with Neural Basis Expansion<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e NeX, \u043d\u043e\u0432\u043e\u043c \u043c\u0435\u0442\u043e\u0434\u0435 \u0441\u0438\u043d\u0442\u0435\u0437\u0430 \u044d\u0444\u0444\u0435\u043a\u0442\u043e\u0432 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u0432\u0440\u0435\u043c\u0435\u043d\u0438.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.13686\" rel=\"noopener noreferrer nofollow\"><strong>AutoTinyBERT: Automatic Hyper-Parameter Optimization for Efficient Pre-Trained Language Models<\/strong><\/a> &#8212; \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043f\u043e\u0438\u0441\u043a \u0433\u0438\u043f\u0435\u0440\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2101.10384\" rel=\"noopener noreferrer nofollow\"><strong>Droidlet: Modular, Heterogenous, Multi-Modal Agents<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 Droidlet &#8212; \u043c\u043e\u0434\u0443\u043b\u044c\u043d\u043e\u0439, \u0433\u0435\u0442\u0435\u0440\u043e\u0433\u0435\u043d\u043d\u043e\u0439 \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0435 \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u0430\u0433\u0435\u043d\u0442\u043e\u0432 \u0438 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 \u0434\u043b\u044f \u0438\u0445 \u0441\u043e\u0437\u0434\u0430\u043d\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u043d\u0430 \u043f\u0435\u0440\u0435\u0441\u0435\u0447\u0435\u043d\u0438\u0438 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430, \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f \u0438 \u0440\u043e\u0431\u043e\u0442\u043e\u0442\u0435\u0445\u043d\u0438\u043a\u0438.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.12292\" rel=\"noopener noreferrer nofollow\"><strong>Contextual Transformer Networks for Visual Recognition<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0439 \u043c\u043e\u0434\u0443\u043b\u044c &#171;\u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440&#187; \u0434\u043b\u044f \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439.<\/p>\n<h3>\u041a\u0443\u0440\u0441\u044b<\/h3>\n<p><a href=\"https:\/\/www.youtube.com\/playlist?list=PLuv1FSpHurUevSXe_k0S7Onh6ruL-_NNh\" rel=\"noopener noreferrer nofollow\"><strong>Designing, Visualizing and Understanding Deep Neural Networks<\/strong><\/a> &#8212; \u043a\u0443\u0440\u0441 \u043f\u0440\u043e Deep Neural Networks \u043e\u0442 UC Berkeley.<\/p>\n<h3>\u0418\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u044b<\/h3>\n<p><a href=\"https:\/\/github.com\/ZumoLabs\/zpy\" rel=\"noopener noreferrer nofollow\"><strong>ZPY [by Zumo Labs]<\/strong><\/a> &#8212; \u0442\u0443\u043b\u0437\u0430 \u0434\u043b\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u0441\u0438\u043d\u0442\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0445 \u0434\u0430\u043d\u043d\u044b\u0445.<\/p>\n<hr\/>\n<p>\u0421\u043f\u0430\u0441\u0438\u0431\u043e, \u0447\u0442\u043e \u0434\u043e\u0447\u0438\u0442\u0430\u043b\u0438 \u044d\u0442\u043e\u0442 \u0432\u044b\u043f\u0443\u0441\u043a. \u041d\u0430\u0434\u0435\u044e\u0441\u044c, \u043a\u0430\u0436\u0434\u044b\u0439 \u043d\u0430\u0448\u0435\u043b \u0434\u043b\u044f \u0441\u0435\u0431\u044f \u0447\u0442\u043e-\u0442\u043e \u043f\u043e\u043b\u0435\u0437\u043d\u043e\u0435. \u0411\u0443\u0434\u0443 \u0431\u043b\u0430\u0433\u043e\u0434\u0430\u0440\u0435\u043d \u0437\u0430 \u043b\u044e\u0431\u044b\u0435 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0435\u0433\u043e \u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430.<\/p>\n<p>\u041f\u0440\u0438\u0441\u043e\u0435\u0434\u0438\u043d\u044f\u0439\u0442\u0435\u0441\u044c \u043a\u00a0<a href=\"https:\/\/t.me\/DataPhoenix\" rel=\"noopener noreferrer nofollow\"><u>Telegram-\u043a\u0430\u043d\u0430\u043b\u0443<\/u><\/a>\u00a0\u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430 \u0438 \u0435\u0433\u043e \u0441\u0442\u0440\u0430\u043d\u0438\u0446\u0430\u043c \u0432 \u0441\u043e\u0446\u0441\u0435\u0442\u044f\u0445:\u00a0<a href=\"https:\/\/twitter.com\/Data_Phoenix\" rel=\"noopener noreferrer nofollow\"><u>Twitter<\/u><\/a>,\u00a0<a href=\"https:\/\/www.facebook.com\/DataPhoenix.info\" rel=\"noopener noreferrer nofollow\"><u>Facebook<\/u><\/a>, \u0430 \u0442\u0430\u043a\u0436\u0435 \u043f\u043e\u0434\u043f\u0438\u0441\u044b\u0432\u0430\u0439\u0442\u0435\u0441\u044c \u043d\u0430 \u043d\u0430\u0448\u0443 \u0435\u0436\u0435\u043d\u0435\u0434\u0435\u043b\u044c\u043d\u0443\u044e\u00a0<a href=\"https:\/\/dataphoenix.info\/subscribe\/\" rel=\"noopener noreferrer nofollow\">\u0440\u0430\u0441\u0441\u044b\u043b\u043a\u0443<\/a>.<\/p>\n<p>\u2190\u00a0<a href=\"https:\/\/habr.com\/ru\/post\/571376\/\" rel=\"noopener noreferrer nofollow\">\u041f\u0440\u0435\u0434\u044b\u0434\u0443\u0449\u0438\u0439 \u0432\u044b\u043f\u0443\u0441\u043a<\/a><\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><!----><!----><\/div>\n<p><!----><!----><br \/> \u0441\u0441\u044b\u043b\u043a\u0430 \u043d\u0430 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b \u0441\u0442\u0430\u0442\u044c\u0438 <a href=\"https:\/\/habr.com\/ru\/articles\/572592\/\"> https:\/\/habr.com\/ru\/articles\/572592\/<\/a><br \/><\/br><\/br><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-412853","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/412853","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=412853"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/412853\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=412853"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=412853"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=412853"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}