{"id":326176,"date":"2021-07-08T15:01:20","date_gmt":"2021-07-08T15:01:20","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=326176"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=326176","title":{"rendered":"Data Phoenix Digest \u2014 08.07.2021"},"content":{"rendered":"\n<div class=\"post__text post__text_v2\" id=\"post-content-body\">\n<figure class=\"full-width\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/72e\/31b\/b4e\/72e31bb4e6c8819dce21fb64dcbec2f3.png\" width=\"1024\" height=\"512\"><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&nbsp;<a href=\"https:\/\/dataphoenix.info\/tag\/digest\/\" rel=\"noopener noreferrer nofollow\">\u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430<\/a>&nbsp;\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 \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&nbsp;<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 14 \u0438\u044e\u043b\u044f \u043d\u0430 \u0434\u043e\u043b\u0433\u043e\u0436\u0434\u0430\u043d\u043d\u044b\u0439 \u043e\u0444\u0444\u043b\u0430\u0439\u043d \u043c\u0438\u0442\u0430\u043f \u043e\u0434\u0435\u0441\u0441\u043a\u043e\u0433\u043e <a href=\"https:\/\/ods.ai\/\" rel=\"noopener noreferrer nofollow\">Open Data Science<\/a> \u0441\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u0430. \u041d\u0430 \u043d\u0435\u043c \u043c\u044b \u043f\u043e\u0433\u043e\u0432\u043e\u0440\u0438\u043c \u043f\u0440\u043e \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0438 \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u043c\u0438\u0440\u0435, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0432\u0430\u0441 \u0436\u0434\u0435\u0442 \u043c\u043d\u043e\u0433\u043e \u0436\u0438\u0432\u043e\u0433\u043e \u043e\u0431\u0449\u0435\u043d\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u043d\u0430\u043c \u043e\u0447\u0435\u043d\u044c \u043d\u0435 \u0445\u0432\u0430\u0442\u0430\u043b\u043e \u043d\u0430 \u043a\u0430\u0440\u0430\u043d\u0442\u0438\u043d\u0435. \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u043e\u0435, \u0431\u0443\u0434\u0435\u0442 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u043e\u0432\u0430\u043d\u0430 \u043e\u043d\u043b\u0430\u0439\u043d-\u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u044f. \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 <a href=\"https:\/\/dataphoenix.info\/ods-ai-odessa-meetup-3\/\" rel=\"noopener noreferrer nofollow\">\u0437\u0434\u0435\u0441\u044c<\/a>. <\/p>\n<hr>\n<h3>\u0421\u0442\u0430\u0442\u044c\u0438<\/h3>\n<p><a href=\"https:\/\/towardsdatascience.com\/comparing-random-forest-and-gradient-boosting-d7236b429c15\" rel=\"noopener noreferrer nofollow\"><strong>Comparing Random Forest and Gradient Boosting<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f-\u0441\u0430\u043c\u043c\u0430\u0440\u0438, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u044e\u0442\u0441\u044f \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u044b Random Forest \u0438 Gradient Boosting.<\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/blog\/advancing-ai-to-make-shopping-easier-for-everyone\/\" rel=\"noopener noreferrer nofollow\"><strong>Advancing AI to Make Shopping Easier for Everyone<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e GrokNet, \u043d\u043e\u0432\u043e\u043c \u0440\u0435\u0448\u0435\u043d\u0438\u0438 \u043e\u0442 Facebook AI, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0431\u044b\u0441\u0442\u0440\u043e \u0438 \u043b\u0435\u0433\u043a\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u0442\u044c \u0442\u043e\u0432\u0430\u0440\u044b \u0432 \u0441\u0435\u0442\u0438.<\/p>\n<p><a href=\"https:\/\/austinrochford.com\/posts\/2021-06-10-lego-pymc3.html\" rel=\"noopener noreferrer nofollow\"><strong>A Bayesian Analysis of Lego Prices in Python with PyMC3<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f-\u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u043e\u0431 \u0430\u043d\u0430\u043b\u0438\u0437\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e \u0446\u0435\u043d\u0430\u0445 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043d\u0430\u0431\u043e\u0440\u043e\u0432 Lego.<\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/blog\/hubert-self-supervised-representation-learning-for-speech-recognition-generation-and-compression\/\" rel=\"noopener noreferrer nofollow\"><strong>HuBERT: Self-Supervised Representation Learning for Speech Recognition, Generation, and Compression<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e HuBERT, \u043d\u043e\u0432\u043e\u043c \u0440\u0435\u0448\u0435\u043d\u0438\u0438 \u043f\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044e \u0440\u0435\u0447\u0438 \u043e\u0442 Facebook AI.<\/p>\n<p><a href=\"http:\/\/Harnessing%20the%20Power%20of%20Machine%20Learning%20to%20Fuel%20the%20Growth%20of%20Halodoc\" rel=\"noopener noreferrer nofollow\"><strong>Harnessing the Power of Machine Learning to Fuel the Growth of Halodoc<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440 \u041c\u041b \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b Halodoc.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/what-is-mlops-everything-you-must-know-to-get-started-523f2d0b8bd8\" rel=\"noopener noreferrer nofollow\"><strong>What Is MLOps? \u2014 Everything You Must Know to Get Started<\/strong><\/a><strong> &#8212; <\/strong>\u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e\u0431 MLOps \u0441 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\u043c \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432 \u0438 \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432, \u043a\u0430\u043a \u0431\u044b\u0441\u0442\u0440\u043e \u0432\u043d\u0435\u0434\u0440\u0438\u0442\u044c \u043b\u0443\u0447\u0448\u0438\u0435 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438 \u0432 \u0432\u0430\u0448 \u0432\u043e\u0440\u043a\u0444\u043b\u043e\u0443.<\/p>\n<p><a href=\"https:\/\/evidentlyai.com\/blog\/retrain-or-not-retrain\" rel=\"noopener noreferrer nofollow\"><strong>To Retrain, or Not to Retrain? Let&#8217;s Get Analytical About ML Model Updates<\/strong><\/a><strong> <\/strong>&#8212; \u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u043f\u0435\u0440\u0435\u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0438 \u041c\u041b \u043c\u043e\u0434\u0435\u043b\u0435\u0439.<\/p>\n<p><a href=\"https:\/\/bdtechtalks.com\/2021\/06\/21\/object-detection-deep-learning\/\" rel=\"noopener noreferrer nofollow\"><strong>An Introduction to Object Detection with Deep Learning<\/strong><\/a> &#8212; \u0432\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0432 \u0431\u0430\u0437\u043e\u0432\u044b\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/developer.nvidia.com\/blog\/continuously-improving-recommender-systems-for-competitive-advantage-with-merlin-and-mlops\/\" rel=\"noopener noreferrer nofollow\"><strong>Continuously Improving Recommender Systems for Competitive Advantage Using NVIDIA Merlin and MLOps<\/strong><\/a><strong> &#8212; <\/strong> \u0441\u0442\u0430\u0442\u044c\u044f \u043f\u0440\u043e MLOps \u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 NVIDIA Merlin.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/a-discourse-on-reinforcement-learning-37f9dc224282\" rel=\"noopener noreferrer nofollow\"><strong>A Discourse on Reinforcement Learning [Part 1]<\/strong><\/a> &#8212; \u043f\u0435\u0440\u0432\u0430\u044f \u0438\u0437 \u0442\u0440\u0435\u0445 \u043e\u0431\u0437\u043e\u0440\u043d\u044b\u0445 \u0441\u0442\u0430\u0442\u0435\u0439 \u043e\u0431 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0438 \u0441 \u043f\u043e\u0434\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u0438\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/blog\/habitat-20-training-home-assistant-robots-with-faster-simulation-and-new-benchmarks\/\" rel=\"noopener noreferrer nofollow\"><strong>Habitat 2.0: Training Home Assistant Robots with Faster Simulation and New Benchmarks<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e Habitat 2.0., \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043e\u0431\u0443\u0447\u0430\u0435\u0442 \u0443\u043c\u043d\u044b\u0435 \u043c\u0430\u0448\u0438\u043d\u044b \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0432 3D \u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0441\u0442\u0432\u0435.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/vectorization-techniques-in-nlp-guide\" rel=\"noopener noreferrer nofollow\"><strong>Vectorization Techniques in NLP [Guide]<\/strong><\/a> &#8212; \u0445\u043e\u0440\u043e\u0448\u0438\u0439 \u0433\u0430\u0439\u0434 \u043e\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u044b Neptune \u043f\u0440\u043e \u043c\u0435\u0442\u043e\u0434\u044b \u0432\u0435\u043a\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u0438 \u0432 NLP.<\/p>\n<h2>\u041d\u0430\u0443\u0447\u043d\u044b\u0435 \u0441\u0442\u0430\u0442\u044c\u0438<\/h2>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.00651\" rel=\"noopener noreferrer nofollow\"><strong>AutoFormer: Searching Transformers for Visual Recognition<\/strong><\/a> &#8212; \u043d\u043e\u0432\u0430\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 \u0438 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a \u0434\u043b\u044f \u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440\u043e\u0432 \u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.00283\" rel=\"noopener noreferrer nofollow\"><strong>DivergentNets: Medical Image Segmentation by Network Ensemble<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0436\u0435\u043b\u0443\u0434\u043e\u0447\u043d\u044b\u0445 \u043f\u043e\u043b\u0438\u043f\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.00376\" rel=\"noopener noreferrer nofollow\"><strong>PlanSys2: A Planning System Framework for ROS2<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e PlanSys2, \u0441\u0438\u0441\u0442\u0435\u043c\u0435 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442\u0430 \u0434\u043b\u044f \u0440\u043e\u0431\u043e\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.16163\" rel=\"noopener noreferrer nofollow\"><strong>The MultiBERTs: BERT Reproductions for Robustness Analysis<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e MultiBERT, \u043d\u043e\u0432\u043e\u043c \u043d\u0430\u0431\u043e\u0440\u0435 \u0438\u0437 25 \u0447\u0435\u043a\u043f\u043e\u0438\u043d\u0442\u043e\u0432 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 BERT.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.04815\" rel=\"noopener noreferrer nofollow\"><strong>ChaCha for Online AutoML<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440 ChaCha, \u043d\u043e\u0432\u043e\u0433\u043e \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u0430 \u0434\u043b\u044f \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0438 \u0433\u0438\u043f\u0435\u0440\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u0432 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u043e\u043d\u043b\u0430\u0439\u043d \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.09462\" rel=\"noopener noreferrer nofollow\"><strong>Pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP Tasks<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e pysentimiento, \u043d\u043e\u0432\u043e\u043c \u0440\u0435\u0448\u0435\u043d\u0438\u0438 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0442\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0442\u0435\u043a\u0441\u0442\u043e\u0432 \u043d\u0430 \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u043e\u043c \u0438 \u0438\u0441\u043f\u0430\u043d\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0430\u0445 \u0432 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u044f\u0445.<\/p>\n<h3>\u041a\u043d\u0438\u0433\u0438<\/h3>\n<p><a href=\"https:\/\/openintro-ims.netlify.app\/\" rel=\"noopener noreferrer nofollow\"><strong>Introduction to Modern Statistics<\/strong><\/a><strong> <\/strong>&#8212; \u043d\u043e\u0432\u0430\u044f \u043a\u043d\u0438\u0433\u0430 \u043e\u0431 \u043e\u0441\u043d\u043e\u0432\u0430\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438; \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u043e \u043d\u0430 \u0441\u0430\u0439\u0442\u0435.<\/p>\n<h3>\u041c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u044b \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0439<\/h3>\n<p><a href=\"https:\/\/openaccess.thecvf.com\/CVPR2021?day=all\" rel=\"noopener noreferrer nofollow\"><strong>Selection of Free Papers from CVPR 2021<\/strong><\/a><strong> &#8212; <\/strong>\u0441\u0431\u043e\u0440\u043d\u0438\u043a \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0440\u0430\u0431\u043e\u0442, \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0445 \u043d\u0430 CVPR 2021 (Conference on Computer Vision and Pattern Recognition).<\/p>\n<h3>\u041f\u0440\u043e\u0435\u043a\u0442\u044b<\/h3>\n<p><a href=\"https:\/\/facebookresearch.github.io\/Kats\/\" rel=\"noopener noreferrer nofollow\"><strong>Kats by Facebook Research<\/strong><\/a><strong> &#8212; <\/strong>\u043d\u043e\u0432\u044b\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u043e\u0442 Facebook \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u043f\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0443 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \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&nbsp;<a href=\"https:\/\/t.me\/DataPhoenix\" rel=\"noopener noreferrer nofollow\"><u>Telegram-\u043a\u0430\u043d\u0430\u043b\u0443<\/u><\/a>&nbsp;\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:&nbsp;<a href=\"https:\/\/twitter.com\/Data_Phoenix\" rel=\"noopener noreferrer nofollow\"><u>Twitter<\/u><\/a>,&nbsp;<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&nbsp;<a href=\"https:\/\/dataphoenix.info\/subscribe\/\" rel=\"noopener noreferrer nofollow\">\u0440\u0430\u0441\u0441\u044b\u043b\u043a\u0443<\/a>.<\/p>\n<p>\u2190&nbsp;<a href=\"https:\/\/habr.com\/ru\/post\/565722\/\" 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<p> \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\/post\/566712\/\"> https:\/\/habr.com\/ru\/post\/566712\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"\n<div class=\"post__text post__text_v2\" id=\"post-content-body\">\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&nbsp;<a href=\"https:\/\/dataphoenix.info\/tag\/digest\/\" rel=\"noopener noreferrer nofollow\">\u0434\u0430\u0439\u0434\u0436\u0435\u0441\u0442\u0430<\/a>&nbsp;\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 \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&nbsp;<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 14 \u0438\u044e\u043b\u044f \u043d\u0430 \u0434\u043e\u043b\u0433\u043e\u0436\u0434\u0430\u043d\u043d\u044b\u0439 \u043e\u0444\u0444\u043b\u0430\u0439\u043d \u043c\u0438\u0442\u0430\u043f \u043e\u0434\u0435\u0441\u0441\u043a\u043e\u0433\u043e <a href=\"https:\/\/ods.ai\/\" rel=\"noopener noreferrer nofollow\">Open Data Science<\/a> \u0441\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u0430. \u041d\u0430 \u043d\u0435\u043c \u043c\u044b \u043f\u043e\u0433\u043e\u0432\u043e\u0440\u0438\u043c \u043f\u0440\u043e \u0443\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435 \u0434\u0430\u043d\u043d\u044b\u043c\u0438 \u0438 \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0432 \u0440\u0435\u0430\u043b\u044c\u043d\u043e\u043c \u043c\u0438\u0440\u0435, \u0430 \u0442\u0430\u043a\u0436\u0435 \u0432\u0430\u0441 \u0436\u0434\u0435\u0442 \u043c\u043d\u043e\u0433\u043e \u0436\u0438\u0432\u043e\u0433\u043e \u043e\u0431\u0449\u0435\u043d\u0438\u044f, \u043a\u043e\u0442\u043e\u0440\u043e\u0433\u043e \u043d\u0430\u043c \u043e\u0447\u0435\u043d\u044c \u043d\u0435 \u0445\u0432\u0430\u0442\u0430\u043b\u043e \u043d\u0430 \u043a\u0430\u0440\u0430\u043d\u0442\u0438\u043d\u0435. \u0423\u0447\u0430\u0441\u0442\u0438\u0435 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u043e\u0435, \u0431\u0443\u0434\u0435\u0442 \u043e\u0440\u0433\u0430\u043d\u0438\u0437\u043e\u0432\u0430\u043d\u0430 \u043e\u043d\u043b\u0430\u0439\u043d-\u0442\u0440\u0430\u043d\u0441\u043b\u044f\u0446\u0438\u044f. \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 <a href=\"https:\/\/dataphoenix.info\/ods-ai-odessa-meetup-3\/\" rel=\"noopener noreferrer nofollow\">\u0437\u0434\u0435\u0441\u044c<\/a>. <\/p>\n<hr>\n<h3>\u0421\u0442\u0430\u0442\u044c\u0438<\/h3>\n<p><a href=\"https:\/\/towardsdatascience.com\/comparing-random-forest-and-gradient-boosting-d7236b429c15\" rel=\"noopener noreferrer nofollow\"><strong>Comparing Random Forest and Gradient Boosting<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f-\u0441\u0430\u043c\u043c\u0430\u0440\u0438, \u0432 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u044e\u0442\u0441\u044f \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u044b Random Forest \u0438 Gradient Boosting.<\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/blog\/advancing-ai-to-make-shopping-easier-for-everyone\/\" rel=\"noopener noreferrer nofollow\"><strong>Advancing AI to Make Shopping Easier for Everyone<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e GrokNet, \u043d\u043e\u0432\u043e\u043c \u0440\u0435\u0448\u0435\u043d\u0438\u0438 \u043e\u0442 Facebook AI, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u0435\u0442 \u0431\u044b\u0441\u0442\u0440\u043e \u0438 \u043b\u0435\u0433\u043a\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u0442\u044c \u0442\u043e\u0432\u0430\u0440\u044b \u0432 \u0441\u0435\u0442\u0438.<\/p>\n<p><a href=\"https:\/\/austinrochford.com\/posts\/2021-06-10-lego-pymc3.html\" rel=\"noopener noreferrer nofollow\"><strong>A Bayesian Analysis of Lego Prices in Python with PyMC3<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f-\u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u043d\u0438\u0435 \u043e\u0431 \u0430\u043d\u0430\u043b\u0438\u0437\u0435 \u0434\u0430\u043d\u043d\u044b\u0445 \u043e \u0446\u0435\u043d\u0430\u0445 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u043d\u0430\u0431\u043e\u0440\u043e\u0432 Lego.<\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/blog\/hubert-self-supervised-representation-learning-for-speech-recognition-generation-and-compression\/\" rel=\"noopener noreferrer nofollow\"><strong>HuBERT: Self-Supervised Representation Learning for Speech Recognition, Generation, and Compression<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e HuBERT, \u043d\u043e\u0432\u043e\u043c \u0440\u0435\u0448\u0435\u043d\u0438\u0438 \u043f\u043e \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u044e \u0440\u0435\u0447\u0438 \u043e\u0442 Facebook AI.<\/p>\n<p><a href=\"http:\/\/Harnessing%20the%20Power%20of%20Machine%20Learning%20to%20Fuel%20the%20Growth%20of%20Halodoc\" rel=\"noopener noreferrer nofollow\"><strong>Harnessing the Power of Machine Learning to Fuel the Growth of Halodoc<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440 \u041c\u041b \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u044b \u043c\u0435\u0434\u0438\u0446\u0438\u043d\u0441\u043a\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b Halodoc.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/what-is-mlops-everything-you-must-know-to-get-started-523f2d0b8bd8\" rel=\"noopener noreferrer nofollow\"><strong>What Is MLOps? \u2014 Everything You Must Know to Get Started<\/strong><\/a><strong> &#8212; <\/strong>\u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e\u0431 MLOps \u0441 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435\u043c \u043e\u0441\u043d\u043e\u0432\u043d\u044b\u0445 \u043f\u0440\u0435\u0438\u043c\u0443\u0449\u0435\u0441\u0442\u0432 \u0438 \u0441\u043f\u043e\u0441\u043e\u0431\u043e\u0432, \u043a\u0430\u043a \u0431\u044b\u0441\u0442\u0440\u043e \u0432\u043d\u0435\u0434\u0440\u0438\u0442\u044c \u043b\u0443\u0447\u0448\u0438\u0435 \u043f\u0440\u0430\u043a\u0442\u0438\u043a\u0438 \u0432 \u0432\u0430\u0448 \u0432\u043e\u0440\u043a\u0444\u043b\u043e\u0443.<\/p>\n<p><a href=\"https:\/\/evidentlyai.com\/blog\/retrain-or-not-retrain\" rel=\"noopener noreferrer nofollow\"><strong>To Retrain, or Not to Retrain? Let&#8217;s Get Analytical About ML Model Updates<\/strong><\/a><strong> <\/strong>&#8212; \u0432\u0432\u043e\u0434\u043d\u0430\u044f \u0441\u0442\u0430\u0442\u044c\u044f \u043e \u043f\u0435\u0440\u0435\u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0438 \u041c\u041b \u043c\u043e\u0434\u0435\u043b\u0435\u0439.<\/p>\n<p><a href=\"https:\/\/bdtechtalks.com\/2021\/06\/21\/object-detection-deep-learning\/\" rel=\"noopener noreferrer nofollow\"><strong>An Introduction to Object Detection with Deep Learning<\/strong><\/a> &#8212; \u0432\u0432\u0435\u0434\u0435\u043d\u0438\u0435 \u0432 \u0431\u0430\u0437\u043e\u0432\u044b\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u0433\u043b\u0443\u0431\u043e\u043a\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/developer.nvidia.com\/blog\/continuously-improving-recommender-systems-for-competitive-advantage-with-merlin-and-mlops\/\" rel=\"noopener noreferrer nofollow\"><strong>Continuously Improving Recommender Systems for Competitive Advantage Using NVIDIA Merlin and MLOps<\/strong><\/a><strong> &#8212; <\/strong> \u0441\u0442\u0430\u0442\u044c\u044f \u043f\u0440\u043e MLOps \u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435 NVIDIA Merlin.<\/p>\n<p><a href=\"https:\/\/towardsdatascience.com\/a-discourse-on-reinforcement-learning-37f9dc224282\" rel=\"noopener noreferrer nofollow\"><strong>A Discourse on Reinforcement Learning [Part 1]<\/strong><\/a> &#8212; \u043f\u0435\u0440\u0432\u0430\u044f \u0438\u0437 \u0442\u0440\u0435\u0445 \u043e\u0431\u0437\u043e\u0440\u043d\u044b\u0445 \u0441\u0442\u0430\u0442\u0435\u0439 \u043e\u0431 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0438 \u0441 \u043f\u043e\u0434\u043a\u0440\u0435\u043f\u043b\u0435\u043d\u0438\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/blog\/habitat-20-training-home-assistant-robots-with-faster-simulation-and-new-benchmarks\/\" rel=\"noopener noreferrer nofollow\"><strong>Habitat 2.0: Training Home Assistant Robots with Faster Simulation and New Benchmarks<\/strong><\/a> &#8212; \u0441\u0442\u0430\u0442\u044c\u044f \u043e Habitat 2.0., \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u043e\u0439 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043e\u0431\u0443\u0447\u0430\u0435\u0442 \u0443\u043c\u043d\u044b\u0435 \u043c\u0430\u0448\u0438\u043d\u044b \u043e\u0440\u0438\u0435\u043d\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f \u0432 3D \u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0441\u0442\u0432\u0435.<\/p>\n<p><a href=\"https:\/\/neptune.ai\/blog\/vectorization-techniques-in-nlp-guide\" rel=\"noopener noreferrer nofollow\"><strong>Vectorization Techniques in NLP [Guide]<\/strong><\/a> &#8212; \u0445\u043e\u0440\u043e\u0448\u0438\u0439 \u0433\u0430\u0439\u0434 \u043e\u0442 \u043a\u043e\u043c\u0430\u043d\u0434\u044b Neptune \u043f\u0440\u043e \u043c\u0435\u0442\u043e\u0434\u044b \u0432\u0435\u043a\u0442\u043e\u0440\u0438\u0437\u0430\u0446\u0438\u0438 \u0432 NLP.<\/p>\n<h2>\u041d\u0430\u0443\u0447\u043d\u044b\u0435 \u0441\u0442\u0430\u0442\u044c\u0438<\/h2>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.00651\" rel=\"noopener noreferrer nofollow\"><strong>AutoFormer: Searching Transformers for Visual Recognition<\/strong><\/a> &#8212; \u043d\u043e\u0432\u0430\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 \u0438 \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a \u0434\u043b\u044f \u0442\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440\u043e\u0432 \u0438 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0440\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.00283\" rel=\"noopener noreferrer nofollow\"><strong>DivergentNets: Medical Image Segmentation by Network Ensemble<\/strong><\/a> &#8212; \u043d\u043e\u0432\u044b\u0435 \u043c\u0435\u0442\u043e\u0434\u044b \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u044f \u0436\u0435\u043b\u0443\u0434\u043e\u0447\u043d\u044b\u0445 \u043f\u043e\u043b\u0438\u043f\u043e\u0432 \u0441 \u043f\u043e\u043c\u043e\u0449\u044c\u044e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2107.00376\" rel=\"noopener noreferrer nofollow\"><strong>PlanSys2: A Planning System Framework for ROS2<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e PlanSys2, \u0441\u0438\u0441\u0442\u0435\u043c\u0435 \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0447\u0435\u0441\u043a\u043e\u0433\u043e \u043c\u0435\u043d\u0435\u0434\u0436\u043c\u0435\u043d\u0442\u0430 \u0434\u043b\u044f \u0440\u043e\u0431\u043e\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.16163\" rel=\"noopener noreferrer nofollow\"><strong>The MultiBERTs: BERT Reproductions for Robustness Analysis<\/strong><\/a><strong> <\/strong>&#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e MultiBERT, \u043d\u043e\u0432\u043e\u043c \u043d\u0430\u0431\u043e\u0440\u0435 \u0438\u0437 25 \u0447\u0435\u043a\u043f\u043e\u0438\u043d\u0442\u043e\u0432 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 BERT.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.04815\" rel=\"noopener noreferrer nofollow\"><strong>ChaCha for Online AutoML<\/strong><\/a> &#8212; \u043e\u0431\u0437\u043e\u0440 ChaCha, \u043d\u043e\u0432\u043e\u0433\u043e \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c\u0430 \u0434\u043b\u044f \u043f\u043e\u0434\u0431\u043e\u0440\u043a\u0438 \u0433\u0438\u043f\u0435\u0440\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432 \u0432 \u0443\u0441\u043b\u043e\u0432\u0438\u044f\u0445 \u043e\u043d\u043b\u0430\u0439\u043d \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f.<\/p>\n<p><a href=\"https:\/\/arxiv.org\/abs\/2106.09462\" rel=\"noopener noreferrer nofollow\"><strong>Pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP Tasks<\/strong><\/a> &#8212; \u0440\u0430\u0431\u043e\u0442\u0430 \u043e pysentimiento, \u043d\u043e\u0432\u043e\u043c \u0440\u0435\u0448\u0435\u043d\u0438\u0438 \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0442\u043e\u043d\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u0438 \u0442\u0435\u043a\u0441\u0442\u043e\u0432 \u043d\u0430 \u0430\u043d\u0433\u043b\u0438\u0439\u0441\u043a\u043e\u043c \u0438 \u0438\u0441\u043f\u0430\u043d\u0441\u043a\u043e\u043c \u044f\u0437\u044b\u043a\u0430\u0445 \u0432 \u0441\u043e\u0446\u0438\u0430\u043b\u044c\u043d\u044b\u0445 \u0441\u0435\u0442\u044f\u0445.<\/p>\n<h3>\u041a\u043d\u0438\u0433\u0438<\/h3>\n<p><a href=\"https:\/\/openintro-ims.netlify.app\/\" rel=\"noopener noreferrer nofollow\"><strong>Introduction to Modern Statistics<\/strong><\/a><strong> <\/strong>&#8212; \u043d\u043e\u0432\u0430\u044f \u043a\u043d\u0438\u0433\u0430 \u043e\u0431 \u043e\u0441\u043d\u043e\u0432\u0430\u0445 \u0441\u0442\u0430\u0442\u0438\u0441\u0442\u0438\u043a\u0438; \u0434\u043e\u0441\u0442\u0443\u043f\u043d\u0430 \u0431\u0435\u0441\u043f\u043b\u0430\u0442\u043d\u043e \u043d\u0430 \u0441\u0430\u0439\u0442\u0435.<\/p>\n<h3>\u041c\u0430\u0442\u0435\u0440\u0438\u0430\u043b\u044b \u043a\u043e\u043d\u0444\u0435\u0440\u0435\u043d\u0446\u0438\u0439<\/h3>\n<p><a href=\"https:\/\/openaccess.thecvf.com\/CVPR2021?day=all\" rel=\"noopener noreferrer nofollow\"><strong>Selection of Free Papers from CVPR 2021<\/strong><\/a><strong> &#8212; <\/strong>\u0441\u0431\u043e\u0440\u043d\u0438\u043a \u043d\u0430\u0443\u0447\u043d\u044b\u0445 \u0440\u0430\u0431\u043e\u0442, \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u043d\u044b\u0445 \u043d\u0430 CVPR 2021 (Conference on Computer Vision and Pattern Recognition).<\/p>\n<h3>\u041f\u0440\u043e\u0435\u043a\u0442\u044b<\/h3>\n<p><a href=\"https:\/\/facebookresearch.github.io\/Kats\/\" rel=\"noopener noreferrer nofollow\"><strong>Kats by Facebook Research<\/strong><\/a><strong> &#8212; <\/strong>\u043d\u043e\u0432\u044b\u0439 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442 \u043e\u0442 Facebook \u0434\u043b\u044f \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u043f\u043e \u0430\u043d\u0430\u043b\u0438\u0437\u0443 \u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0440\u044f\u0434\u043e\u0432 \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&nbsp;<a href=\"https:\/\/t.me\/DataPhoenix\" rel=\"noopener noreferrer nofollow\"><u>Telegram-\u043a\u0430\u043d\u0430\u043b\u0443<\/u><\/a>&nbsp;\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:&nbsp;<a href=\"https:\/\/twitter.com\/Data_Phoenix\" rel=\"noopener noreferrer nofollow\"><u>Twitter<\/u><\/a>,&nbsp;<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&nbsp;<a href=\"https:\/\/dataphoenix.info\/subscribe\/\" rel=\"noopener noreferrer nofollow\">\u0440\u0430\u0441\u0441\u044b\u043b\u043a\u0443<\/a>.<\/p>\n<p>\u2190&nbsp;<a href=\"https:\/\/habr.com\/ru\/post\/565722\/\" 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<p> \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\/post\/566712\/\"> https:\/\/habr.com\/ru\/post\/566712\/<\/a><br \/><\/br><\/br><\/hr>\n<\/div>\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-326176","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/326176","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=326176"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/326176\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=326176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=326176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=326176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}