{"id":399623,"date":"2024-06-29T14:46:52","date_gmt":"2024-06-29T14:46:52","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=399623"},"modified":"-0001-11-30T00:00:00","modified_gmt":"2024-06-29T14:46:52","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=399623","title":{"rendered":"<span>DataScience Digest \u2014 05.08.21<\/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\/69a\/c1b\/4c0\/69ac1b4c00c28822ea17ba0f2443ff14.png\" width=\"1024\" height=\"512\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/69a\/c1b\/4c0\/69ac1b4c00c28822ea17ba0f2443ff14.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>\u0422\u0430\u043a\u0436\u0435 \u0445\u043e\u0447\u0443 \u043f\u0440\u0438\u0433\u043b\u0430\u0441\u0438\u0442\u044c \u0432\u0441\u0435\u0445 17 \u0430\u0432\u0433\u0443\u0441\u0442\u0430 \u043d\u0430 \u0441\u0432\u043e\u0439 \u0432\u0435\u0431\u0438\u043d\u0430\u0440 <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:\/\/eng.uber.com\/customer-automation-platform\/\" rel=\"noopener noreferrer nofollow\"><strong>Customer Support Automation Platform at Uber<\/strong><\/a><strong> <\/strong>&#8212; \u043e\u0431\u0437\u043e\u0440 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b \u043f\u043e \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0435 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u0432 Uber.<\/p>\n<p><a href=\"https:\/\/engineering.linkedin.com\/blog\/2021\/model-health-assurance-at-linkedin\" rel=\"noopener noreferrer nofollow\"><strong>Model Health Assurance at LinkedIn<\/strong><\/a> &#8212; LinkedIn \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0438\u043c \u0443\u0434\u0430\u0435\u0442\u0441\u044f \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c &#171;\u0437\u0434\u043e\u0440\u043e\u0432\u044b\u0435&#187; \u043c\u043e\u0434\u0435\u043b\u0438.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/ml-model-debugging-and-tools\" rel=\"noopener noreferrer nofollow\"><strong>In-depth Guide to ML Model Debugging and Tools You Need to Know<\/strong><\/a><strong> <\/strong>&#8212; \u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0432 \u0434\u0435\u0431\u0430\u0433\u0433\u0438\u043d\u0433 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043e\u0442 Neptune AI.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/knn-algorithm-explanation-opportunities-limitations\" rel=\"noopener noreferrer nofollow\"><strong>The KNN Algorithm \u2013 Explanation, Opportunities, Limitations<\/strong><\/a><strong> <\/strong>&#8212; \u043e\u0431\u0437\u043e\u0440\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043f\u0440\u043e \u041c\u041b \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c KNN.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/mlops-with-mlflow-and-amazon-sagemaker-pipelines-33e13d43f238\" rel=\"noopener noreferrer nofollow\"><strong>MLOps with MLflow and Amazon SageMaker Pipelines<\/strong><\/a> &#8212; \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u0435 MLOps \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e MLflow \u0438 Amazon SageMaker.<\/p>\n<p><a href=\"https:\/\/cloud.google.com\/blog\/topics\/developers-practitioners\/scaling-deep-learning-workloads-pytorch-xla-and-cloud-tpu-vm\" rel=\"noopener noreferrer nofollow\"><strong>Scaling Deep Learning Workloads with PyTorch \/ XLA and Cloud TPU VM<\/strong><\/a> &#8212; \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 DL-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e PyTorch.<\/p>\n<p><a href=\"https:\/\/observablehq.com\/@sandravizmad\/100_days_d3_dataviz\" rel=\"noopener noreferrer nofollow\"><strong>100 Days D3 Dataviz<\/strong><\/a> &#8212; \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043e\u043f\u044b\u0442 \u043f\u043e \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 D3.js\/Observable.<\/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\/2107.08430\" rel=\"noopener noreferrer nofollow\"><strong>YOLOX: Exceeding YOLO Series in 2021<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e\u0431 YOLOX, \u043d\u043e\u0432\u043e\u043c \u043c\u043e\u0449\u043d\u043e\u043c \u0434\u0435\u0442\u0435\u043a\u0442\u043e\u0440\u0435 \u043e\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u044b Megvii Technology.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.07346\" rel=\"noopener noreferrer nofollow\"><strong>You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u043a \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e \u0434\u0430\u0442\u0430 \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u043e\u0432 \u0434\u043b\u044f \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.05431\" rel=\"noopener noreferrer nofollow\"><strong>CoBERL: Contrastive BERT for Reinforcement Learning<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e CoBERL, \u043d\u043e\u0432\u043e\u043c \u0430\u0433\u0435\u043d\u0442\u0435 \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0441 \u043f\u043e\u0434\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u0438\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.05399\" rel=\"noopener noreferrer nofollow\"><strong>SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e SynLiDAR, \u043d\u043e\u0432\u043e\u043c \u043e\u0431\u043b\u0430\u0447\u043d\u043e\u043c \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0435 \u0441 \u0441\u0438\u043d\u0442\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0434\u043b\u044f \u043b\u0438\u0434\u0430\u0440\u043e\u0432.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2101.06175\" rel=\"noopener noreferrer nofollow\"><strong>PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e PaddleSeg, \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u043c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0435 \u0434\u043b\u044f \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \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:\/\/huggingface.co\/course\/chapter1\" rel=\"noopener noreferrer nofollow\"><strong>Natural Language Processing [Huggingface Course]<\/strong><\/a><strong> <\/strong>&#8212; \u043a\u0443\u0440\u0441 \u043f\u043e NLP \u043e\u0442 Huggingface<\/p>\n<h3>\u0421\u043e\u0440\u0435\u0432\u043d\u043e\u0432\u0430\u043d\u0438\u044f<\/h3>\n<p><a href=\"https:\/\/research.yandex.com\/shifts\" rel=\"noopener noreferrer nofollow\"><strong>Shifts Challenge: Robustness and Uncertain\u00adty under Real-World Distributional Shift<\/strong><\/a><\/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\/570272\/\" 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\/571376\/\"> https:\/\/habr.com\/ru\/articles\/571376\/<\/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>\u0422\u0430\u043a\u0436\u0435 \u0445\u043e\u0447\u0443 \u043f\u0440\u0438\u0433\u043b\u0430\u0441\u0438\u0442\u044c \u0432\u0441\u0435\u0445 17 \u0430\u0432\u0433\u0443\u0441\u0442\u0430 \u043d\u0430 \u0441\u0432\u043e\u0439 \u0432\u0435\u0431\u0438\u043d\u0430\u0440 <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:\/\/eng.uber.com\/customer-automation-platform\/\" rel=\"noopener noreferrer nofollow\"><strong>Customer Support Automation Platform at Uber<\/strong><\/a><strong> <\/strong>&#8212; \u043e\u0431\u0437\u043e\u0440 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b \u043f\u043e \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0439 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u043a\u0435 \u043a\u043b\u0438\u0435\u043d\u0442\u043e\u0432 \u0432 Uber.<\/p>\n<p><a href=\"https:\/\/engineering.linkedin.com\/blog\/2021\/model-health-assurance-at-linkedin\" rel=\"noopener noreferrer nofollow\"><strong>Model Health Assurance at LinkedIn<\/strong><\/a> &#8212; LinkedIn \u0440\u0430\u0441\u0441\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442, \u043a\u0430\u043a \u0438\u043c \u0443\u0434\u0430\u0435\u0442\u0441\u044f \u0432\u044b\u043f\u0443\u0441\u043a\u0430\u0442\u044c \u0438 \u043f\u043e\u0434\u0434\u0435\u0440\u0436\u0438\u0432\u0430\u0442\u044c &#171;\u0437\u0434\u043e\u0440\u043e\u0432\u044b\u0435&#187; \u043c\u043e\u0434\u0435\u043b\u0438.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/ml-model-debugging-and-tools\" rel=\"noopener noreferrer nofollow\"><strong>In-depth Guide to ML Model Debugging and Tools You Need to Know<\/strong><\/a><strong> <\/strong>&#8212; \u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0432 \u0434\u0435\u0431\u0430\u0433\u0433\u0438\u043d\u0433 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043e\u0442 Neptune AI.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/knn-algorithm-explanation-opportunities-limitations\" rel=\"noopener noreferrer nofollow\"><strong>The KNN Algorithm \u2013 Explanation, Opportunities, Limitations<\/strong><\/a><strong> <\/strong>&#8212; \u043e\u0431\u0437\u043e\u0440\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043f\u0440\u043e \u041c\u041b \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c KNN.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/mlops-with-mlflow-and-amazon-sagemaker-pipelines-33e13d43f238\" rel=\"noopener noreferrer nofollow\"><strong>MLOps with MLflow and Amazon SageMaker Pipelines<\/strong><\/a> &#8212; \u0432\u043d\u0435\u0434\u0440\u0435\u043d\u0438\u0435 MLOps \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e MLflow \u0438 Amazon SageMaker.<\/p>\n<p><a href=\"https:\/\/cloud.google.com\/blog\/topics\/developers-practitioners\/scaling-deep-learning-workloads-pytorch-xla-and-cloud-tpu-vm\" rel=\"noopener noreferrer nofollow\"><strong>Scaling Deep Learning Workloads with PyTorch \/ XLA and Cloud TPU VM<\/strong><\/a> &#8212; \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u0435 DL-\u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e PyTorch.<\/p>\n<p><a href=\"https:\/\/observablehq.com\/@sandravizmad\/100_days_d3_dataviz\" rel=\"noopener noreferrer nofollow\"><strong>100 Days D3 Dataviz<\/strong><\/a> &#8212; \u043f\u0440\u0430\u043a\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u0439 \u043e\u043f\u044b\u0442 \u043f\u043e \u0432\u0438\u0437\u0443\u0430\u043b\u0438\u0437\u0430\u0446\u0438\u0438 \u0434\u0430\u043d\u043d\u044b\u0445 \u043d\u0430 D3.js\/Observable.<\/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\/2107.08430\" rel=\"noopener noreferrer nofollow\"><strong>YOLOX: Exceeding YOLO Series in 2021<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e\u0431 YOLOX, \u043d\u043e\u0432\u043e\u043c \u043c\u043e\u0449\u043d\u043e\u043c \u0434\u0435\u0442\u0435\u043a\u0442\u043e\u0440\u0435 \u043e\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u044b Megvii Technology.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.07346\" rel=\"noopener noreferrer nofollow\"><strong>You Do Not Need a Bigger Boat: Recommendations at Reasonable Scale in a (Mostly) Serverless and Open Stack<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u043a \u043c\u0430\u0441\u0448\u0442\u0430\u0431\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e \u0434\u0430\u0442\u0430 \u043f\u0430\u0439\u043f\u043b\u0430\u0439\u043d\u043e\u0432 \u0434\u043b\u044f \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.05431\" rel=\"noopener noreferrer nofollow\"><strong>CoBERL: Contrastive BERT for Reinforcement Learning<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e CoBERL, \u043d\u043e\u0432\u043e\u043c \u0430\u0433\u0435\u043d\u0442\u0435 \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0441 \u043f\u043e\u0434\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u0438\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.05399\" rel=\"noopener noreferrer nofollow\"><strong>SynLiDAR: Learning From Synthetic LiDAR Sequential Point Cloud for Semantic Segmentation<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e SynLiDAR, \u043d\u043e\u0432\u043e\u043c \u043e\u0431\u043b\u0430\u0447\u043d\u043e\u043c \u0434\u0430\u0442\u0430\u0441\u0435\u0442\u0435 \u0441 \u0441\u0438\u043d\u0442\u0435\u0442\u0438\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0434\u043b\u044f \u043b\u0438\u0434\u0430\u0440\u043e\u0432.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2101.06175\" rel=\"noopener noreferrer nofollow\"><strong>PaddleSeg: A High-Efficient Development Toolkit for Image Segmentation<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e PaddleSeg, \u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e\u043c \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u0435 \u0434\u043b\u044f \u0441\u0435\u0433\u043c\u0435\u043d\u0442\u0430\u0446\u0438\u0438 \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:\/\/huggingface.co\/course\/chapter1\" rel=\"noopener noreferrer nofollow\"><strong>Natural Language Processing [Huggingface Course]<\/strong><\/a><strong> <\/strong>&#8212; \u043a\u0443\u0440\u0441 \u043f\u043e NLP \u043e\u0442 Huggingface<\/p>\n<h3>\u0421\u043e\u0440\u0435\u0432\u043d\u043e\u0432\u0430\u043d\u0438\u044f<\/h3>\n<p><a href=\"https:\/\/research.yandex.com\/shifts\" rel=\"noopener noreferrer nofollow\"><strong>Shifts Challenge: Robustness and Uncertain\u00adty under Real-World Distributional Shift<\/strong><\/a><\/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\/570272\/\" 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\/571376\/\"> https:\/\/habr.com\/ru\/articles\/571376\/<\/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-399623","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/399623","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=399623"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/399623\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=399623"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=399623"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=399623"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}