{"id":327336,"date":"2022-01-10T08:51:17","date_gmt":"2022-01-10T08:51:17","guid":{"rendered":"http:\/\/savepearlharbor.com\/?p=327336"},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-29T21:00:00","slug":"","status":"publish","type":"post","link":"https:\/\/savepearlharbor.com\/?p=327336","title":{"rendered":"<span>\u0421\u0438\u0442\u0438\u043c\u043e\u0431\u0438\u043b \u0432\u043c\u0435\u0441\u0442\u0435 \u0441 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u0430\u043c\u0438 \u0438\u0437 \u0440\u0430\u0437\u043d\u044b\u0445 \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0439 \u043f\u043e\u0434\u0432\u043e\u0434\u0438\u0442 \u0438\u0442\u043e\u0433\u0438 \u0433\u043e\u0434\u0430 \u0432 \u0440\u0430\u0437\u043d\u044b\u0445 \u043e\u0431\u043b\u0430\u0441\u0442\u044f\u0445 Data Science<\/span>"},"content":{"rendered":"<div><\/div>\n<div id=\"post-content-body\" class=\"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\/w780q1\/getpro\/habr\/upload_files\/7b9\/7ea\/3d9\/7b97ea3d93eecacdf19041f65587703f.jpg\" width=\"1280\" height=\"720\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/7b9\/7ea\/3d9\/7b97ea3d93eecacdf19041f65587703f.jpg\" data-blurred=\"true\"\/><figcaption><\/figcaption><\/figure>\n<p>\u0412\u0441\u0435\u043c \u043f\u0440\u0438\u0432\u0435\u0442! <\/p>\n<p>\u041f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u043a \u043a\u043e\u043d\u0446\u0443 2021 \u0433\u043e\u0434 \u0431\u044b\u043b \u043e\u0447\u0435\u043d\u044c \u043d\u0430\u0441\u044b\u0449\u0435\u043d\u043d\u044b\u043c \u2014 \u043d\u0430\u043c \u0443\u0434\u0430\u043b\u043e\u0441\u044c \u043f\u0440\u043e\u0432\u0435\u0441\u0442\u0438 5 \u043c\u0438\u0442\u0430\u043f\u043e\u0432 \u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u044b\u043c\u0438 \u0441\u043f\u0438\u043a\u0435\u0440\u0430\u043c\u0438 \u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u0430\u043c\u0438 \u0440\u044b\u043d\u043a\u0430 Data Science \u0438 Machine Learning. \u041c\u044b \u0443\u0437\u043d\u0430\u043b\u0438 \u043c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e\u0433\u043e, \u0438 \u044d\u0442\u043e \u0437\u0434\u043e\u0440\u043e\u0432\u043e!<\/p>\n<p>\u041a\u0430\u0436\u0434\u044b\u0439 \u0433\u043e\u0434 \u0432\u044b\u0445\u043e\u0434\u044f\u0442 \u0441\u043e\u0442\u043d\u0438 \u0441\u0442\u0430\u0442\u0435\u0439 \u043f\u043e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u043c\u0443 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044e, \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u043c \u0441\u0435\u0442\u044f\u043c, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u043c \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u043c \u0438 \u0434\u0440\u0443\u0433\u0438\u043c \u043e\u0431\u043b\u0430\u0441\u0442\u044f\u043c \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u043c \u0441 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430. \u041f\u043e\u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0442\u044b\u0441\u044f\u0447\u0438 \u043d\u043e\u0432\u044b\u0445 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0435\u0432, API \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u043e\u0432 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 Data Science.<\/p>\n<p>\u0410 \u0447\u0442\u043e \u0438\u0437 \u044d\u0442\u043e\u0433\u043e \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0441\u0442\u0430\u043b\u043e \u0432\u0430\u0436\u043d\u044b\u043c \u0441\u043e\u0431\u044b\u0442\u0438\u0435\u043c? \u041d\u0430 \u043a\u0430\u043a\u0438\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u044b \u0441\u0442\u043e\u0438\u0442 \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u044c \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435? \u041d\u0430 \u044d\u0442\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043e\u0442\u0432\u0435\u0442\u0438\u043b\u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u044b \u043f\u043e Data Science.<\/p>\n<h2>Top-5 \u0441\u043e\u0431\u044b\u0442\u0438\u0439 \u0432 \u043c\u0438\u0440\u0435 Computer Vision \u0432 2021<\/h2>\n<div class=\"persona\" persona=\"true\"><img decoding=\"async\" persona=\"true\" class=\"image persona__image\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/3cf\/7db\/4df\/3cf7db4df645f6eb9cf7335d0be92bbf.jpg\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/3cf\/7db\/4df\/3cf7db4df645f6eb9cf7335d0be92bbf.jpg\" data-blurred=\"true\"\/><\/p>\n<h5 class=\"persona__heading\" persona=\"true\">\u0410\u0440\u0442\u0443\u0440 \u041a\u0443\u0437\u0438\u043d<\/h5>\n<p persona=\"true\" class=\"persona__text\">Head of Computer Vision Platfrom | SberDevices <\/p>\n<\/div>\n<p><strong>1. \u0422\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440\u044b<\/strong><\/p>\n<ul>\n<li>\n<p>SWIN transformer \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2103.14030\"><u>https:\/\/arxiv.org\/abs\/2103.14030<\/u><\/a><\/p>\n<\/li>\n<li>\n<p>CoAtNet: Marrying Convolution and Attention for All Data Sizes \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2106.04803\"><u>https:\/\/arxiv.org\/abs\/2106.04803<\/u><\/a> <\/p>\n<\/li>\n<\/ul>\n<p><strong>2. \u0413\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f<\/strong><\/p>\n<ul>\n<li>\n<p>DALL-E \u2013 <a href=\"https:\/\/openai.com\/blog\/dall-e\/\"><u>https:\/\/openai.com\/blog\/dall-e\/<\/u><\/a><\/p>\n<\/li>\n<li>\n<p>NUWA \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2111.12417\"><u>https:\/\/arxiv.org\/abs\/2111.12417<\/u><\/a><\/p>\n<\/li>\n<li>\n<p>StyleGAN3 \u2013 <a href=\"https:\/\/nvlabs.github.io\/stylegan3\/\">https:\/\/nvlabs.github.io\/stylegan3\/<\/a><\/p>\n<\/li>\n<\/ul>\n<p><strong>3. \u041c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c<\/strong><\/p>\n<ul>\n<li>\n<p>CLIP \u2013 <a href=\"https:\/\/openai.com\/blog\/clip\/\">https:\/\/openai.com\/blog\/clip\/<\/a><\/p>\n<\/li>\n<li>\n<p>Florence \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2111.11432\"><u>https:\/\/arxiv.org\/abs\/2111.11432<\/u><\/a> <\/p>\n<\/li>\n<\/ul>\n<p><strong>4. OCR<\/strong><\/p>\n<ul>\n<li>\n<p>OpenImages V5 \u2013 <a href=\"https:\/\/github.com\/openvinotoolkit\/training_extensions\">https:\/\/github.com\/openvinotoolkit\/training_extensions<\/a><\/p>\n<\/li>\n<li>\n<p>Opensource \u2013 <a href=\"https:\/\/github.com\/faustomorales\/keras-ocr\">https:\/\/github.com\/faustomorales\/keras-ocr<\/a> + <a href=\"https:\/\/github.com\/clovaai\/CRAFT-pytorch\"><u>https:\/\/github.com\/clovaai\/CRAFT-pytorch<\/u><\/a>  + <a href=\"https:\/\/github.com\/JaidedAI\/EasyOCR\">https:\/\/github.com\/JaidedAI\/EasyOCR<\/a><\/p>\n<\/li>\n<\/ul>\n<p><strong>5.<\/strong> <strong>\u041f\u0440\u043e\u0440\u044b\u0432 \u0432 self-supervised<\/strong>\u00a0<\/p>\n<p><a href=\"https:\/\/github.com\/facebookresearch\/dino\"><u>https:\/\/github.com\/facebookresearch\/dino<\/u><\/a> + <a href=\"https:\/\/arxiv.org\/abs\/2111.07832\">https:\/\/arxiv.org\/abs\/2111.07832<\/a>, <a href=\"https:\/\/github.com\/microsoft\/esvit\"><u>https:\/\/github.com\/microsoft\/esvit<\/u><\/a> + <a href=\"https:\/\/github.com\/google-research\/simclr\">https:\/\/github.com\/google-research\/simclr<\/a><\/p>\n<p><strong>extra 6. Meta AR dataset<\/strong><\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/research\/publications\/ego4d-unscripted-first-person-video-from-around-the-world-and-a-benchmark-suite-for-egocentric-perception\/%5D(https:\/\/ai.facebook.com\/research\/publications\/ego4d-unscripted-first-person-video-from-around-the-world-and-a-benchmark-suite-for-egocentric-perception\/)\"><u>https:\/\/ai.facebook.com\/research\/publications\/ego4d-unscripted-first-person-video-from-around-the-world-and-a-benchmark-suite-for-egocentric-perception\/<\/u><\/a><\/p>\n<h2>Top-5 \u0441\u0442\u0430\u0442\u0435\u0439 \u0432 \u043c\u0438\u0440\u0435 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 \u0432 2021 \u0433\u043e\u0434\u0443<\/h2>\n<div class=\"persona\" persona=\"true\"><img decoding=\"async\" persona=\"true\" class=\"image persona__image\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/844\/3c1\/952\/8443c1952c037daac12e6b9ae9f0dea4.jpg\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/844\/3c1\/952\/8443c1952c037daac12e6b9ae9f0dea4.jpg\" data-blurred=\"true\"\/><\/p>\n<h5 class=\"persona__heading\" persona=\"true\">\u0414\u043c\u0438\u0442\u0440\u0438\u0439 \u041a\u043e\u0440\u043e\u0431\u0447\u0435\u043d\u043a\u043e<\/h5>\n<p persona=\"true\" class=\"persona__text\">Senior Manager of AI | NVIDIA<\/p>\n<\/div>\n<ol>\n<li>\n<p><strong>Diffusion Models Beat GANs on Image Synthesis<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2105.05233\">https:\/\/arxiv.org\/abs\/2105.05233<\/a> <\/p>\n<\/li>\n<li>\n<p><strong>Alias-Free Generative Adversarial Networks (StyleGAN3)<\/strong><br \/><a href=\"https:\/\/nvlabs.github.io\/stylegan3\/\">https:\/\/nvlabs.github.io\/stylegan3\/<\/a> <\/p>\n<\/li>\n<li>\n<p><strong>Open AI Codex<\/strong><br \/> <a href=\"https:\/\/openai.com\/blog\/openai-codex\/\">https:\/\/openai.com\/blog\/openai-codex\/<\/a> + <br \/><strong>GitHub Copilot<\/strong><br \/><a href=\"https:\/\/copilot.github.com\/\">https:\/\/copilot.github.com\/<\/a> <\/p>\n<\/li>\n<li>\n<p><strong>CLIP: Connecting Text and Images<\/strong><br \/><a href=\"https:\/\/openai.com\/blog\/clip\/\">https:\/\/openai.com\/blog\/clip\/<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Image GPT<\/strong><br \/> <a href=\"https:\/\/openai.com\/blog\/image-gpt\/\"><u>https:\/\/openai.com\/blog\/image-gpt\/<\/u><\/a> + <br \/><strong>DALL\u00b7E: Creating Images from Text<\/strong> <br \/><a href=\"https:\/\/openai.com\/blog\/dall-e\/\"><u>https:\/\/openai.com\/blog\/dall-e\/<\/u><\/a><\/p>\n<\/li>\n<\/ol>\n<h2>Top-5 \u0441\u0442\u0430\u0442\u0435\u0439 \u043f\u043e Data Science<\/h2>\n<div class=\"persona\" persona=\"true\"><img decoding=\"async\" persona=\"true\" class=\"image persona__image\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/e22\/243\/439\/e22243439a2e96b96deb01c5a72ecddc.jpg\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/e22\/243\/439\/e22243439a2e96b96deb01c5a72ecddc.jpg\" data-blurred=\"true\"\/><\/p>\n<h5 class=\"persona__heading\" persona=\"true\">\u0412\u0430\u043b\u0435\u0440\u0438\u0439 \u0411\u0430\u0431\u0443\u0448\u043a\u0438\u043d<\/h5>\n<p persona=\"true\" class=\"persona__text\">Head of Data Science | Blockchain.com<\/p>\n<\/div>\n<p>1. <strong>Uncertainty in Gradient Boosting via Ensembles<\/strong>\u00a0 <br \/><a href=\"https:\/\/arxiv.org\/abs\/2006.10562\"><u>https:\/\/arxiv.org\/abs\/2006.10562<\/u><\/a> <\/p>\n<p>2. <strong>Interactive identification of individuals with positive treatment effect while controlling false discoveries<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2102.10778\">https:\/\/arxiv.org\/abs\/2102.10778<\/a><\/p>\n<p>3. <strong>Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects<\/strong><br \/><a href=\"https:\/\/economics.mit.edu\/files\/17847\">https:\/\/economics.mit.edu\/files\/17847<\/a><\/p>\n<p>4. <strong>Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures<\/strong><br \/><a href=\"http:\/\/proceedings.mlr.press\/v139\/gosgens21a\/gosgens21a.pdf\"><u>http:\/\/proceedings.mlr.press\/v139\/gosgens21a\/gosgens21a.pdf<\/u><\/a><\/p>\n<p>5. <strong>A Survey of Transformers<\/strong> <br \/><a href=\"https:\/\/arxiv.org\/abs\/2106.04554\">https:\/\/arxiv.org\/abs\/2106.04554<\/a> <\/p>\n<p>extra 6.<strong> Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift 2019<\/strong><br \/><a href=\"https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/846c260d715e5b854ffad5f70a516c88-Paper.pdf\"><u>https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/846c260d715e5b854ffad5f70a516c88-Paper.pdf<\/u><\/a> <\/p>\n<h2>Top-5 \u0441\u043e\u0431\u044b\u0442\u0438\u0439 \u0432 \u043c\u0438\u0440\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u0432 2021 \u0433\u043e\u0434\u0443<\/h2>\n<div class=\"persona\" persona=\"true\"><img decoding=\"async\" persona=\"true\" class=\"image persona__image\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/ff3\/55d\/894\/ff355d894050349ea9c6a185e8d67770.jpg\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/ff3\/55d\/894\/ff355d894050349ea9c6a185e8d67770.jpg\" data-blurred=\"true\"\/><\/p>\n<h5 class=\"persona__heading\" persona=\"true\">\u0410\u043d\u0434\u0440\u0435\u0439 \u041a\u0443\u0437\u043d\u0435\u0446\u043e\u0432 @netcitizen<\/h5>\n<p persona=\"true\" class=\"persona__text\">ML Team Lead | \u041e\u0434\u043d\u043e\u043a\u043b\u0430\u0441\u0441\u043d\u0438\u043a\u0438<\/p>\n<\/div>\n<ol>\n<li>\n<p><strong>TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2101.11714\">https:\/\/arxiv.org\/abs\/2101.11714<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2108.05342\">https:\/\/arxiv.org\/abs\/2108.05342<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Transformers4Rec<\/strong><br \/><a href=\"https:\/\/github.com\/NVIDIA-Merlin\/Transformers4Rec\">https:\/\/github.com\/NVIDIA-Merlin\/Transformers4Rec<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Learning to Represent Human Motives for Goal-directed Web Browsing<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2108.03350\">https:\/\/arxiv.org\/abs\/2108.03350<\/a><\/p>\n<\/li>\n<li>\n<p><strong>An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes<\/strong><br \/><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474241\">https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474241<\/a><\/p>\n<\/li>\n<\/ol>\n<h2>Top-5 \u0441\u043e\u0431\u044b\u0442\u0438\u0439 \u0438\u0437 \u043c\u0438\u0440\u0430 Data Science &amp; Big Data \u0432 2021 \u0433\u043e\u0434\u0443<\/h2>\n<div class=\"persona\" persona=\"true\"><img decoding=\"async\" persona=\"true\" class=\"image persona__image\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/61e\/15e\/357\/61e15e3574000ffea6e17e6120e5481e.jpg\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/61e\/15e\/357\/61e15e3574000ffea6e17e6120e5481e.jpg\" data-blurred=\"true\"\/><\/p>\n<h5 class=\"persona__heading\" persona=\"true\">\u0410\u043b\u0435\u043a\u0441\u0435\u0439 \u0427\u0435\u0440\u043d\u043e\u0431\u0440\u043e\u0432\u043e\u0432<\/h5>\n<p persona=\"true\" class=\"persona__text\">Head of Data Science | \u0421\u0438\u0442\u0438\u043c\u043e\u0431\u0438\u043b<\/p>\n<\/div>\n<p>1.\u00a0 <strong>DALL\u00b7E<\/strong><br \/><a href=\"https:\/\/openai.com\/blog\/dall-e\/\">https:\/\/openai.com\/blog\/dall-e\/<\/a><\/p>\n<p>2.\u00a0 <strong>\u0420\u0430\u0431\u043e\u0442\u044b DeepMind \u0432 \u0431\u0438\u043e\u043b\u043e\u0433\u0438\u0438<\/strong><br \/><a href=\"https:\/\/github.com\/deepmind\/alphafold\"><u>https:\/\/github.com\/deepmind\/alphafold<\/u><\/a> + <a href=\"https:\/\/deepmind.com\/blog\/article\/enformer\"><u>https:\/\/deepmind.com\/blog\/article\/enformer<\/u><\/a><\/p>\n<p>3.\u00a0 <strong>\u041d\u043e\u0432\u044b\u0435 \u0440\u0435\u043b\u0438\u0437\u044b \u043e\u0442 Apache<\/strong><br \/><a href=\"https:\/\/flink.apache.org\/news\/2021\/09\/29\/release-1.14.0.html\">https:\/\/flink.apache.org\/news\/2021\/09\/29\/release-1.14.0.html<\/a> + <a href=\"https:\/\/kafka.apache.org\/downloads\"><u>https:\/\/kafka.apache.org\/downloads<\/u><\/a><\/p>\n<p>4.\u00a0 <strong>Kats \u043e\u0442 Facebook \u0438 Merlion \u043e\u0442 Salesforce<\/strong><br \/><a href=\"https:\/\/github.com\/salesforce\/Merlion\">https:\/\/github.com\/salesforce\/Merlion<\/a> + <a href=\"https:\/\/github.com\/facebookresearch\/Kats\">https:\/\/github.com\/facebookresearch\/Kats<\/a><\/p>\n<p>5.\u00a0 <strong>Copilot<\/strong><br \/><a href=\"https:\/\/copilot.github.com\/\">https:\/\/copilot.github.com\/<\/a><\/p>\n<h2>Top-5 \u0442\u0440\u0435\u043d\u0434\u043e\u0432 \u0432 \u043c\u0438\u0440\u0435 Data Science \u0432 2021<\/h2>\n<div class=\"persona\" persona=\"true\"><img decoding=\"async\" persona=\"true\" class=\"image persona__image\" src=\"https:\/\/habrastorage.org\/r\/w780q1\/getpro\/habr\/upload_files\/61c\/eba\/dd0\/61cebadd0d57d12fca8294ce6c30e73b.jpg\" data-src=\"https:\/\/habrastorage.org\/getpro\/habr\/upload_files\/61c\/eba\/dd0\/61cebadd0d57d12fca8294ce6c30e73b.jpg\" data-blurred=\"true\"\/><\/p>\n<h5 class=\"persona__heading\" persona=\"true\">\u0412\u0438\u043a\u0442\u043e\u0440 \u041a\u0430\u043d\u0442\u043e\u0440<\/h5>\n<p persona=\"true\" class=\"persona__text\">\u0414\u0438\u0440\u0435\u043a\u0442\u043e\u0440 \u0446\u0435\u043d\u0442\u0440\u0430 Big Data | \u041c\u0422\u0421<\/p>\n<\/div>\n<ol>\n<li>\n<p>\u0423\u0436\u0435\u0441\u0442\u043e\u0447\u0435\u043d\u0438\u0435 \u0437\u0430\u043a\u043e\u043d\u043e\u0434\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0430 \u0432 \u0441\u0444\u0435\u0440\u0435 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438. \u041e\u0442\u043a\u0430\u0437 \u043e\u0442 cookies.\u00a0<\/p>\n<\/li>\n<li>\n<p>Graph embeddings \u0438 transformers.<\/p>\n<\/li>\n<li>\n<p>\u0420\u043e\u0441\u0442 \u0440\u044b\u043d\u043a\u0430 MLops \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 \u0432 \u0441\u0444\u0435\u0440\u0435 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0435 \u0434\u0430\u043d\u043d\u044b\u0445.<\/p>\n<\/li>\n<li>\n<p>\u0420\u044b\u043d\u043e\u043a \u0442\u0440\u0443\u0434\u0430 Data Science \u0441\u0438\u043b\u044c\u043d\u043e \u043f\u0435\u0440\u0435\u0433\u0440\u0435\u0442.<\/p>\n<\/li>\n<li>\n<p>Data Science \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u0432\u043e\u0441\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u043d\u044b\u043c, \u043d\u043e \u0438 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u043c \u0438 \u043c\u043e\u0434\u043d\u044b\u043c.<\/p>\n<\/li>\n<\/ol>\n<p>\u041f\u0440\u0438\u044f\u0442\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0441\u043c\u043e\u0442\u0440\u0430! <\/p>\n<div class=\"tm-iframe_temp\" data-src=\"https:\/\/embedd.srv.habr.com\/iframe\/61c9bd1f122cc8f63869692b\" data-style=\"\" id=\"61c9bd1f122cc8f63869692b\" width=\"\"><\/div>\n<\/div>\n<\/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\/company\/citymobil\/blog\/598103\/\"> https:\/\/habr.com\/ru\/company\/citymobil\/blog\/598103\/<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<div><\/div>\n<div id=\"post-content-body\" class=\"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>\u0412\u0441\u0435\u043c \u043f\u0440\u0438\u0432\u0435\u0442! <\/p>\n<p>\u041f\u043e\u0434\u0445\u043e\u0434\u044f\u0449\u0438\u0439 \u043a \u043a\u043e\u043d\u0446\u0443 2021 \u0433\u043e\u0434 \u0431\u044b\u043b \u043e\u0447\u0435\u043d\u044c \u043d\u0430\u0441\u044b\u0449\u0435\u043d\u043d\u044b\u043c \u2014 \u043d\u0430\u043c \u0443\u0434\u0430\u043b\u043e\u0441\u044c \u043f\u0440\u043e\u0432\u0435\u0441\u0442\u0438 5 \u043c\u0438\u0442\u0430\u043f\u043e\u0432 \u0441 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u044b\u043c\u0438 \u0441\u043f\u0438\u043a\u0435\u0440\u0430\u043c\u0438 \u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u0430\u043c\u0438 \u0440\u044b\u043d\u043a\u0430 Data Science \u0438 Machine Learning. \u041c\u044b \u0443\u0437\u043d\u0430\u043b\u0438 \u043c\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e\u0433\u043e, \u0438 \u044d\u0442\u043e \u0437\u0434\u043e\u0440\u043e\u0432\u043e!<\/p>\n<p>\u041a\u0430\u0436\u0434\u044b\u0439 \u0433\u043e\u0434 \u0432\u044b\u0445\u043e\u0434\u044f\u0442 \u0441\u043e\u0442\u043d\u0438 \u0441\u0442\u0430\u0442\u0435\u0439 \u043f\u043e \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u043c\u0443 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044e, \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u043c \u0441\u0435\u0442\u044f\u043c, \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u043c \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u043c \u0438 \u0434\u0440\u0443\u0433\u0438\u043c \u043e\u0431\u043b\u0430\u0441\u0442\u044f\u043c \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u043c \u0441 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430. \u041f\u043e\u044f\u0432\u043b\u044f\u044e\u0442\u0441\u044f \u0442\u044b\u0441\u044f\u0447\u0438 \u043d\u043e\u0432\u044b\u0445 \u0440\u0435\u043f\u043e\u0437\u0438\u0442\u043e\u0440\u0438\u0435\u0432, API \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u043e\u0432 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0441\u043e\u0432\u0440\u0435\u043c\u0435\u043d\u043d\u044b\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 Data Science.<\/p>\n<p>\u0410 \u0447\u0442\u043e \u0438\u0437 \u044d\u0442\u043e\u0433\u043e \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0441\u0442\u0430\u043b\u043e \u0432\u0430\u0436\u043d\u044b\u043c \u0441\u043e\u0431\u044b\u0442\u0438\u0435\u043c? \u041d\u0430 \u043a\u0430\u043a\u0438\u0435 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0438 \u0438 \u0441\u0435\u0440\u0432\u0438\u0441\u044b \u0441\u0442\u043e\u0438\u0442 \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u044c \u0432\u043d\u0438\u043c\u0430\u043d\u0438\u0435? \u041d\u0430 \u044d\u0442\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043e\u0442\u0432\u0435\u0442\u0438\u043b\u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u044b \u043f\u043e Data Science.<\/p>\n<h2>Top-5 \u0441\u043e\u0431\u044b\u0442\u0438\u0439 \u0432 \u043c\u0438\u0440\u0435 Computer Vision \u0432 2021<\/h2>\n<div class=\"persona\" persona=\"true\">\n<h5 class=\"persona__heading\" persona=\"true\">\u0410\u0440\u0442\u0443\u0440 \u041a\u0443\u0437\u0438\u043d<\/h5>\n<p persona=\"true\" class=\"persona__text\">Head of Computer Vision Platfrom | SberDevices <\/p>\n<\/div>\n<p><strong>1. \u0422\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440\u044b<\/strong><\/p>\n<ul>\n<li>\n<p>SWIN transformer \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2103.14030\"><u>https:\/\/arxiv.org\/abs\/2103.14030<\/u><\/a><\/p>\n<\/li>\n<li>\n<p>CoAtNet: Marrying Convolution and Attention for All Data Sizes \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2106.04803\"><u>https:\/\/arxiv.org\/abs\/2106.04803<\/u><\/a> <\/p>\n<\/li>\n<\/ul>\n<p><strong>2. \u0413\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u044f<\/strong><\/p>\n<ul>\n<li>\n<p>DALL-E \u2013 <a href=\"https:\/\/openai.com\/blog\/dall-e\/\"><u>https:\/\/openai.com\/blog\/dall-e\/<\/u><\/a><\/p>\n<\/li>\n<li>\n<p>NUWA \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2111.12417\"><u>https:\/\/arxiv.org\/abs\/2111.12417<\/u><\/a><\/p>\n<\/li>\n<li>\n<p>StyleGAN3 \u2013 <a href=\"https:\/\/nvlabs.github.io\/stylegan3\/\">https:\/\/nvlabs.github.io\/stylegan3\/<\/a><\/p>\n<\/li>\n<\/ul>\n<p><strong>3. \u041c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u043e\u0441\u0442\u044c<\/strong><\/p>\n<ul>\n<li>\n<p>CLIP \u2013 <a href=\"https:\/\/openai.com\/blog\/clip\/\">https:\/\/openai.com\/blog\/clip\/<\/a><\/p>\n<\/li>\n<li>\n<p>Florence \u2013 <a href=\"https:\/\/arxiv.org\/abs\/2111.11432\"><u>https:\/\/arxiv.org\/abs\/2111.11432<\/u><\/a> <\/p>\n<\/li>\n<\/ul>\n<p><strong>4. OCR<\/strong><\/p>\n<ul>\n<li>\n<p>OpenImages V5 \u2013 <a href=\"https:\/\/github.com\/openvinotoolkit\/training_extensions\">https:\/\/github.com\/openvinotoolkit\/training_extensions<\/a><\/p>\n<\/li>\n<li>\n<p>Opensource \u2013 <a href=\"https:\/\/github.com\/faustomorales\/keras-ocr\">https:\/\/github.com\/faustomorales\/keras-ocr<\/a> + <a href=\"https:\/\/github.com\/clovaai\/CRAFT-pytorch\"><u>https:\/\/github.com\/clovaai\/CRAFT-pytorch<\/u><\/a>  + <a href=\"https:\/\/github.com\/JaidedAI\/EasyOCR\">https:\/\/github.com\/JaidedAI\/EasyOCR<\/a><\/p>\n<\/li>\n<\/ul>\n<p><strong>5.<\/strong> <strong>\u041f\u0440\u043e\u0440\u044b\u0432 \u0432 self-supervised<\/strong>\u00a0<\/p>\n<p><a href=\"https:\/\/github.com\/facebookresearch\/dino\"><u>https:\/\/github.com\/facebookresearch\/dino<\/u><\/a> + <a href=\"https:\/\/arxiv.org\/abs\/2111.07832\">https:\/\/arxiv.org\/abs\/2111.07832<\/a>, <a href=\"https:\/\/github.com\/microsoft\/esvit\"><u>https:\/\/github.com\/microsoft\/esvit<\/u><\/a> + <a href=\"https:\/\/github.com\/google-research\/simclr\">https:\/\/github.com\/google-research\/simclr<\/a><\/p>\n<p><strong>extra 6. Meta AR dataset<\/strong><\/p>\n<p><a href=\"https:\/\/ai.facebook.com\/research\/publications\/ego4d-unscripted-first-person-video-from-around-the-world-and-a-benchmark-suite-for-egocentric-perception\/%5D(https:\/\/ai.facebook.com\/research\/publications\/ego4d-unscripted-first-person-video-from-around-the-world-and-a-benchmark-suite-for-egocentric-perception\/)\"><u>https:\/\/ai.facebook.com\/research\/publications\/ego4d-unscripted-first-person-video-from-around-the-world-and-a-benchmark-suite-for-egocentric-perception\/<\/u><\/a><\/p>\n<h2>Top-5 \u0441\u0442\u0430\u0442\u0435\u0439 \u0432 \u043c\u0438\u0440\u0435 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439 \u0432 2021 \u0433\u043e\u0434\u0443<\/h2>\n<div class=\"persona\" persona=\"true\">\n<h5 class=\"persona__heading\" persona=\"true\">\u0414\u043c\u0438\u0442\u0440\u0438\u0439 \u041a\u043e\u0440\u043e\u0431\u0447\u0435\u043d\u043a\u043e<\/h5>\n<p persona=\"true\" class=\"persona__text\">Senior Manager of AI | NVIDIA<\/p>\n<\/div>\n<ol>\n<li>\n<p><strong>Diffusion Models Beat GANs on Image Synthesis<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2105.05233\">https:\/\/arxiv.org\/abs\/2105.05233<\/a> <\/p>\n<\/li>\n<li>\n<p><strong>Alias-Free Generative Adversarial Networks (StyleGAN3)<\/strong><br \/><a href=\"https:\/\/nvlabs.github.io\/stylegan3\/\">https:\/\/nvlabs.github.io\/stylegan3\/<\/a> <\/p>\n<\/li>\n<li>\n<p><strong>Open AI Codex<\/strong><br \/> <a href=\"https:\/\/openai.com\/blog\/openai-codex\/\">https:\/\/openai.com\/blog\/openai-codex\/<\/a> + <br \/><strong>GitHub Copilot<\/strong><br \/><a href=\"https:\/\/copilot.github.com\/\">https:\/\/copilot.github.com\/<\/a> <\/p>\n<\/li>\n<li>\n<p><strong>CLIP: Connecting Text and Images<\/strong><br \/><a href=\"https:\/\/openai.com\/blog\/clip\/\">https:\/\/openai.com\/blog\/clip\/<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Image GPT<\/strong><br \/> <a href=\"https:\/\/openai.com\/blog\/image-gpt\/\"><u>https:\/\/openai.com\/blog\/image-gpt\/<\/u><\/a> + <br \/><strong>DALL\u00b7E: Creating Images from Text<\/strong> <br \/><a href=\"https:\/\/openai.com\/blog\/dall-e\/\"><u>https:\/\/openai.com\/blog\/dall-e\/<\/u><\/a><\/p>\n<\/li>\n<\/ol>\n<h2>Top-5 \u0441\u0442\u0430\u0442\u0435\u0439 \u043f\u043e Data Science<\/h2>\n<div class=\"persona\" persona=\"true\">\n<h5 class=\"persona__heading\" persona=\"true\">\u0412\u0430\u043b\u0435\u0440\u0438\u0439 \u0411\u0430\u0431\u0443\u0448\u043a\u0438\u043d<\/h5>\n<p persona=\"true\" class=\"persona__text\">Head of Data Science | Blockchain.com<\/p>\n<\/div>\n<p>1. <strong>Uncertainty in Gradient Boosting via Ensembles<\/strong>\u00a0 <br \/><a href=\"https:\/\/arxiv.org\/abs\/2006.10562\"><u>https:\/\/arxiv.org\/abs\/2006.10562<\/u><\/a> <\/p>\n<p>2. <strong>Interactive identification of individuals with positive treatment effect while controlling false discoveries<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2102.10778\">https:\/\/arxiv.org\/abs\/2102.10778<\/a><\/p>\n<p>3. <strong>Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects<\/strong><br \/><a href=\"https:\/\/economics.mit.edu\/files\/17847\">https:\/\/economics.mit.edu\/files\/17847<\/a><\/p>\n<p>4. <strong>Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures<\/strong><br \/><a href=\"http:\/\/proceedings.mlr.press\/v139\/gosgens21a\/gosgens21a.pdf\"><u>http:\/\/proceedings.mlr.press\/v139\/gosgens21a\/gosgens21a.pdf<\/u><\/a><\/p>\n<p>5. <strong>A Survey of Transformers<\/strong> <br \/><a href=\"https:\/\/arxiv.org\/abs\/2106.04554\">https:\/\/arxiv.org\/abs\/2106.04554<\/a> <\/p>\n<p>extra 6.<strong> Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift 2019<\/strong><br \/><a href=\"https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/846c260d715e5b854ffad5f70a516c88-Paper.pdf\"><u>https:\/\/proceedings.neurips.cc\/paper\/2019\/file\/846c260d715e5b854ffad5f70a516c88-Paper.pdf<\/u><\/a> <\/p>\n<h2>Top-5 \u0441\u043e\u0431\u044b\u0442\u0438\u0439 \u0432 \u043c\u0438\u0440\u0435 \u0440\u0435\u043a\u043e\u043c\u0435\u043d\u0434\u0430\u0442\u0435\u043b\u044c\u043d\u044b\u0445 \u0441\u0438\u0441\u0442\u0435\u043c \u0432 2021 \u0433\u043e\u0434\u0443<\/h2>\n<div class=\"persona\" persona=\"true\">\n<h5 class=\"persona__heading\" persona=\"true\">\u0410\u043d\u0434\u0440\u0435\u0439 \u041a\u0443\u0437\u043d\u0435\u0446\u043e\u0432 @netcitizen<\/h5>\n<p persona=\"true\" class=\"persona__text\">ML Team Lead | \u041e\u0434\u043d\u043e\u043a\u043b\u0430\u0441\u0441\u043d\u0438\u043a\u0438<\/p>\n<\/div>\n<ol>\n<li>\n<p><strong>TT-Rec: Tensor Train Compression for Deep Learning Recommendation Models<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2101.11714\">https:\/\/arxiv.org\/abs\/2101.11714<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Large-Scale Modeling of Mobile User Click Behaviors Using Deep Learning<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2108.05342\">https:\/\/arxiv.org\/abs\/2108.05342<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Transformers4Rec<\/strong><br \/><a href=\"https:\/\/github.com\/NVIDIA-Merlin\/Transformers4Rec\">https:\/\/github.com\/NVIDIA-Merlin\/Transformers4Rec<\/a><\/p>\n<\/li>\n<li>\n<p><strong>Learning to Represent Human Motives for Goal-directed Web Browsing<\/strong><br \/><a href=\"https:\/\/arxiv.org\/abs\/2108.03350\">https:\/\/arxiv.org\/abs\/2108.03350<\/a><\/p>\n<\/li>\n<li>\n<p><strong>An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes<\/strong><br \/><a href=\"https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474241\">https:\/\/dl.acm.org\/doi\/10.1145\/3460231.3474241<\/a><\/p>\n<\/li>\n<\/ol>\n<h2>Top-5 \u0441\u043e\u0431\u044b\u0442\u0438\u0439 \u0438\u0437 \u043c\u0438\u0440\u0430 Data Science &amp; Big Data \u0432 2021 \u0433\u043e\u0434\u0443<\/h2>\n<div class=\"persona\" persona=\"true\">\n<h5 class=\"persona__heading\" persona=\"true\">\u0410\u043b\u0435\u043a\u0441\u0435\u0439 \u0427\u0435\u0440\u043d\u043e\u0431\u0440\u043e\u0432\u043e\u0432<\/h5>\n<p persona=\"true\" class=\"persona__text\">Head of Data Science | \u0421\u0438\u0442\u0438\u043c\u043e\u0431\u0438\u043b<\/p>\n<\/div>\n<p>1.\u00a0 <strong>DALL\u00b7E<\/strong><br \/><a href=\"https:\/\/openai.com\/blog\/dall-e\/\">https:\/\/openai.com\/blog\/dall-e\/<\/a><\/p>\n<p>2.\u00a0 <strong>\u0420\u0430\u0431\u043e\u0442\u044b DeepMind \u0432 \u0431\u0438\u043e\u043b\u043e\u0433\u0438\u0438<\/strong><br \/><a href=\"https:\/\/github.com\/deepmind\/alphafold\"><u>https:\/\/github.com\/deepmind\/alphafold<\/u><\/a> + <a href=\"https:\/\/deepmind.com\/blog\/article\/enformer\"><u>https:\/\/deepmind.com\/blog\/article\/enformer<\/u><\/a><\/p>\n<p>3.\u00a0 <strong>\u041d\u043e\u0432\u044b\u0435 \u0440\u0435\u043b\u0438\u0437\u044b \u043e\u0442 Apache<\/strong><br \/><a href=\"https:\/\/flink.apache.org\/news\/2021\/09\/29\/release-1.14.0.html\">https:\/\/flink.apache.org\/news\/2021\/09\/29\/release-1.14.0.html<\/a> + <a href=\"https:\/\/kafka.apache.org\/downloads\"><u>https:\/\/kafka.apache.org\/downloads<\/u><\/a><\/p>\n<p>4.\u00a0 <strong>Kats \u043e\u0442 Facebook \u0438 Merlion \u043e\u0442 Salesforce<\/strong><br \/><a href=\"https:\/\/github.com\/salesforce\/Merlion\">https:\/\/github.com\/salesforce\/Merlion<\/a> + <a href=\"https:\/\/github.com\/facebookresearch\/Kats\">https:\/\/github.com\/facebookresearch\/Kats<\/a><\/p>\n<p>5.\u00a0 <strong>Copilot<\/strong><br \/><a href=\"https:\/\/copilot.github.com\/\">https:\/\/copilot.github.com\/<\/a><\/p>\n<h2>Top-5 \u0442\u0440\u0435\u043d\u0434\u043e\u0432 \u0432 \u043c\u0438\u0440\u0435 Data Science \u0432 2021<\/h2>\n<div class=\"persona\" persona=\"true\">\n<h5 class=\"persona__heading\" persona=\"true\">\u0412\u0438\u043a\u0442\u043e\u0440 \u041a\u0430\u043d\u0442\u043e\u0440<\/h5>\n<p persona=\"true\" class=\"persona__text\">\u0414\u0438\u0440\u0435\u043a\u0442\u043e\u0440 \u0446\u0435\u043d\u0442\u0440\u0430 Big Data | \u041c\u0422\u0421<\/p>\n<\/div>\n<ol>\n<li>\n<p>\u0423\u0436\u0435\u0441\u0442\u043e\u0447\u0435\u043d\u0438\u0435 \u0437\u0430\u043a\u043e\u043d\u043e\u0434\u0430\u0442\u0435\u043b\u044c\u0441\u0442\u0432\u0430 \u0432 \u0441\u0444\u0435\u0440\u0435 \u0440\u0430\u0431\u043e\u0442\u044b \u0441 \u0434\u0430\u043d\u043d\u044b\u043c\u0438. \u041e\u0442\u043a\u0430\u0437 \u043e\u0442 cookies.\u00a0<\/p>\n<\/li>\n<li>\n<p>Graph embeddings \u0438 transformers.<\/p>\n<\/li>\n<li>\n<p>\u0420\u043e\u0441\u0442 \u0440\u044b\u043d\u043a\u0430 MLops \u0438 \u0434\u0440\u0443\u0433\u0438\u0445 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 \u0432 \u0441\u0444\u0435\u0440\u0435 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0435 \u0434\u0430\u043d\u043d\u044b\u0445.<\/p>\n<\/li>\n<li>\n<p>\u0420\u044b\u043d\u043e\u043a \u0442\u0440\u0443\u0434\u0430 Data Science \u0441\u0438\u043b\u044c\u043d\u043e \u043f\u0435\u0440\u0435\u0433\u0440\u0435\u0442.<\/p>\n<\/li>\n<li>\n<p>Data Science \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f \u043d\u0435 \u0442\u043e\u043b\u044c\u043a\u043e \u0432\u043e\u0441\u0442\u0440\u0435\u0431\u043e\u0432\u0430\u043d\u043d\u044b\u043c, \u043d\u043e \u0438 \u043f\u043e\u043f\u0443\u043b\u044f\u0440\u043d\u044b\u043c \u0438 \u043c\u043e\u0434\u043d\u044b\u043c.<\/p>\n<\/li>\n<\/ol>\n<p>\u041f\u0440\u0438\u044f\u0442\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0441\u043c\u043e\u0442\u0440\u0430! <\/p>\n<div class=\"tm-iframe_temp\" data-src=\"https:\/\/embedd.srv.habr.com\/iframe\/61c9bd1f122cc8f63869692b\" data-style=\"\" id=\"61c9bd1f122cc8f63869692b\" width=\"\"><\/div>\n<\/div>\n<\/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\/company\/citymobil\/blog\/598103\/\"> https:\/\/habr.com\/ru\/company\/citymobil\/blog\/598103\/<\/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-327336","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/327336","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=327336"}],"version-history":[{"count":0,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=\/wp\/v2\/posts\/327336\/revisions"}],"wp:attachment":[{"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=327336"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=327336"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/savepearlharbor.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=327336"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}