{"id":6826,"date":"2019-12-06T09:52:00","date_gmt":"2019-12-06T09:52:00","guid":{"rendered":"https:\/\/gtechbooster.com\/?p=6826"},"modified":"2023-06-21T11:42:51","modified_gmt":"2023-06-21T11:42:51","slug":"sagemaker-studio-unveils-ide-for-machine-learning","status":"publish","type":"post","link":"https:\/\/gtechbooster.com\/sagemaker-studio-unveils-ide-for-machine-learning\/","title":{"rendered":"Sagemaker Studio unveils IDE for Machine Learning"},"content":{"rendered":"\n<p>Amazon SageMaker Studio, announced by&nbsp;CEO Andy Jassy on the second \nday of the AWS re:Invent conference, is envisaged as unifying all the \ntools needed for machine learning. Several other SageMaker products were\n launched alongside it.<\/p>\n\n\n\n<div class=\"gtech-migrated-from-ad-inserter-placement-2\" style=\"text-align: center;\" id=\"gtech-74148504\"><div style=\"margin-right: auto;margin-left: auto;text-align: center;\" id=\"gtech-1320677815\"><a data-bid=\"1\" data-no-instant=\"1\" href=\"https:\/\/gtechbooster.com\/linkout\/17207\" rel=\"noopener\" class=\"notrack\" aria-label=\"26001\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/gtechbooster.com\/media\/2023\/01\/26001.jpeg\" alt=\"\"  srcset=\"https:\/\/gtechbooster.com\/media\/2023\/01\/26001.jpeg 1024w, https:\/\/gtechbooster.com\/media\/2023\/01\/26001-768x960.jpeg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" width=\"500\" height=\"625\"  style=\"display: inline-block;\" \/><\/a><\/div><\/div><p>SageMaker made its debut at re:Invent in 2017 as:a fully managed  service for the machine learning (ML) process. It was upgraded at last  year&#8217;s conference, which saw the addition of&nbsp;SageMaker&nbsp;Ground Truth,  an&nbsp;automated data-labeling service.&nbsp;<\/p>\n\n\n\n<p>SageMaker Studio&nbsp;is intended to make&nbsp;building models significantly \nmore accessible to a wider range of developers. It is a web-based IDE \nfor complete machine learning workflows which is designed to allow \ndevelopers to build, train, tune and deploy their models from a single \ninterface and to provide a single place for all ML tools and results.<\/p>\n\n\n\n<p>Capabilities include:<\/p><div class=\"gtech-mid-cont\" style=\"text-align: center;\" id=\"gtech-3417908375\"><div style=\"margin-right: auto;margin-left: auto;text-align: center;\" id=\"gtech-3631516485\"><a data-bid=\"1\" data-no-instant=\"1\" href=\"https:\/\/gtechbooster.com\/linkout\/17207\" rel=\"noopener\" class=\"notrack\" aria-label=\"26001\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/gtechbooster.com\/media\/2023\/01\/26001.jpeg\" alt=\"\"  srcset=\"https:\/\/gtechbooster.com\/media\/2023\/01\/26001.jpeg 1024w, https:\/\/gtechbooster.com\/media\/2023\/01\/26001-768x960.jpeg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" width=\"500\" height=\"625\"  style=\"display: inline-block;\" \/><\/a><\/div><\/div>\n\n\n\n<ul class=\"wp-block-list\"><li>Organize, search and access notebooks, datasets, code and settings<\/li><li>Create project folders to organize ML projects<\/li><li>Share projects, folders and their contents<\/li><li>Discuss notebooks&nbsp;and their results collaboratively<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/gtechbooster.com\/media\/2019\/12\/sagemakerstudio.jpg\"><img loading=\"lazy\" decoding=\"async\" width=\"720\" height=\"335\" src=\"https:\/\/gtechbooster.com\/media\/2019\/12\/sagemakerstudio.jpg\" alt=\"\" class=\"wp-image-6827\" srcset=\"https:\/\/gtechbooster.com\/media\/2019\/12\/sagemakerstudio.jpg 720w, https:\/\/gtechbooster.com\/media\/2019\/12\/sagemakerstudio-500x233.jpg 500w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\" \/><\/a><\/figure>\n\n\n\n<p>Jassy also announced&nbsp;SageMaker Notebooks&nbsp;(currently in preview), a \nmanaged service that lets you easily create and share Jupyter notebooks \nwithout having to provision instances yourself as they will be \nautomatically provisioned when needed. This also means you can quickly \nswitch from one hardware configuration to another.<\/p>\n\n\n\n<p>The other new Amazon SageMaker products provided as fully managed services are:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><strong>Experiments&nbsp;&#8211; <\/strong>Enables  you&nbsp;to organize, track and compare thousands of ML jobs: these can be  training jobs, or data processing and model evaluation jobs run with&nbsp;<a href=\"https:\/\/aws.amazon.com\/sagemaker\/\">Amazon SageMaker Processing<\/a>.<br><\/li><li><strong>Debugger&nbsp;&#8211;&nbsp;<\/strong>Enables you&nbsp;to&nbsp;debug  and analyze complex training issues, and receive alerts. It  automatically introspects your models, collects debugging data, and  analyzes it to provide real-time alerts and advice on ways to optimize  your training times, and improve model quality. All information is  visible as your models are training.<br><\/li><li>&nbsp;<strong>Model Monitor<\/strong> &#8211;&nbsp;Enables you&nbsp;to&nbsp;detect quality  deviations for deployed models, and receive alerts. For example you can  easily visualize issues like data drift that could be affecting your  models. <br><\/li><li><strong>Autopilot&nbsp;&#8211;&nbsp;<\/strong>Enables you&nbsp;to&nbsp;build models  automatically with full control and visibility. Algorithm selection,  data preprocessing, and model tuning are taken care automatically, as  well as all infrastructure.<\/li><\/ul>\n\n\n\n<p>Speaking at re:Invent about the way SageMaker Studio automates the whole process,&nbsp;Andy Jassy said:&nbsp;<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\"><p><em>\u201cWith AutoML, here\u2019s what happens: You  send us your CSV file with the data that you want a model for &#8211; you can  just point to the S3 location and Autopilot does all the transformation  of the model&nbsp; &#8230; it selects the right algorithm, and then it trains 50  unique models with [slightly] different configurations of the various  variables because you don\u2019t know which ones are going to lead to the  highest accuracy. SageMaker Studio [then gives you] a model leaderboard  where you can see all 50 models ranked in order of accuracy &#8230; and  there is a notebook underneath every single one of these models, so that  when you open the notebook, it has all the recipe of that particular  model.\u201d<\/em><\/p><\/blockquote>\n\n\n\n<p>This certainly promises to take the hard work out of machine  learning, making it much more accessible, while at the same time  still&nbsp;giving the user some control over the process and a good deal of  feedback to enable them to understand and work with the results.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">More Information<\/h2>\n\n\n\n<ul class=\"wp-block-list\"><li><a rel=\"noreferrer noopener\" href=\"https:\/\/aws.amazon.com\/deeplens\/\" target=\"_blank\">Amazon SageMaker <\/a><\/li><\/ul>\n<div class=\"gtech-end-cont\" id=\"gtech-4168150485\"><div style=\"margin-right: auto;margin-left: auto;text-align: center;\" id=\"gtech-3340968452\"><a data-bid=\"1\" data-no-instant=\"1\" href=\"https:\/\/gtechbooster.com\/linkout\/17207\" rel=\"noopener\" class=\"notrack\" aria-label=\"26001\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/gtechbooster.com\/media\/2023\/01\/26001.jpeg\" alt=\"\"  srcset=\"https:\/\/gtechbooster.com\/media\/2023\/01\/26001.jpeg 1024w, https:\/\/gtechbooster.com\/media\/2023\/01\/26001-768x960.jpeg 768w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" width=\"500\" height=\"625\"  style=\"display: inline-block;\" \/><\/a><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>Amazon SageMaker Studio, announced by&nbsp;CEO Andy Jassy on the second day of the AWS re:Invent conference, is envisaged as unifying all the tools needed for machine learning. Several other SageMaker products were launched alongside it. SageMaker made its debut at re:Invent in 2017 as:a fully managed service for the machine learning (ML) process. It was [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":6828,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1915],"tags":[58,46,528,6],"class_list":["post-6826","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ndocs","tag-amazon","tag-artificial-intelligence","tag-machine-learning","tag-programming"],"blocksy_meta":{"styles_descriptor":{"styles":{"desktop":"","tablet":"","mobile":""},"google_fonts":[],"version":6}},"_links":{"self":[{"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/posts\/6826","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/comments?post=6826"}],"version-history":[{"count":0,"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/posts\/6826\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/media\/6828"}],"wp:attachment":[{"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/media?parent=6826"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/categories?post=6826"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/gtechbooster.com\/api-json\/wp\/v2\/tags?post=6826"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}