{"store":{"customizeEditHighlightKey":null,"customizeEditingSectionKey":null,"customizeScrollToKey":null,"baseInfo":{"podcastTitle":"Data Science at Home","slug":"datascienceathome","podcastDescription":"

Cutting through AI bullsh*t.
Come join the discussion on Discord!
https://discord.gg/4UNKGf3

","podcastLogo":"https://pbcdn1.podbean.com/imglogo/image-logo/1799802/dsh-cover-2.jpg","podcastShareLogo":"https://d2bwo9zemjwxh5.cloudfront.net/image-logo/1799802/dsh-cover-2_1200x628.jpg?s=f0daa5efa3ab8f164c3a39785ecdcf88&e=jpg","podcastUrl":"https://datascienceathome.podbean.com","podcastCanSearched":true,"feedUrl":"https://feed.podbean.com/datascienceathome/feed.xml","theme":"playlist2","podcastDeepLink":"https://www.podbean.com/pw/pbblog-jbsst-1b767a?from=usersite","removePodbeanBranding":"no","brandingLogo":null,"timeZone":{"timeZoneId":33,"gmtAdjustment":"GMT+01:00","useDaylightTime":1,"value":1,"text":"(GMT+01:00) Brussels, Copenhagen, Madrid, Paris","daylightStartTime":"Second Sunday Of March +2 Hours","daylightEndTime":"First Sunday Of November +2 Hours","timezone":"Europe/Brussels"},"podcastDownloads":null,"totalEpisodes":316,"showComments":true,"iOSAppDownloadLink":null,"customizeCssUrl":null,"androidAppDownloadLink":null,"showPostShare":true,"showLike":true,"author":"Francesco Gadaleta","enableEngagementStats":true,"shareEmbedLink":"https://admin5.podbean.com/embed.html?id=pbblog-jbsst-1b767a-playlist","language":"en","sensitivitySessionExpireTime":3600,"podcastApps":[{"name":"Podbean App","link":"https://www.podbean.com/pw/pbblog-jbsst-1b767a?from=usersite","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/podbean-app.png","title":null},{"name":"Spotify","link":"https://open.spotify.com/show/57AJ6GiMDPVBLGRqvjeoz6","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/spotify.png","title":null},{"name":"Amazon Music","link":"https://music.amazon.com/podcasts/d705e79f-09d4-4771-8d75-c8593b528fb0","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/AmazonMusic.png","title":null},{"name":"iHeartRadio","link":"https://iheart.com/podcast/132441556","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/iHeartRadio.png","title":null},{"name":"PlayerFM","link":"https://player.fm/series/3497898","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/PlayerFM.png","title":null},{"name":"Listen Notes","link":"https://www.listennotes.com/podcasts/data-science-at-home-francesco-gadaleta-l9hrNWBpmMV/","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/ListenNotes.png","title":null},{"name":"Podchaser","link":"https://www.podchaser.com/podcasts/data-science-at-home-1664","image":"https://pbcdn1.podbean.com/fs1/site/images/admin5/Podchaser.webp","title":null}],"components":{"base":[{"id":"MainStyle","val":"light"},{"id":"Font","val":"Roboto"},{"id":"SecondaryFont","val":"Roboto"},{"id":"PlayerColor","val":"#9417FF"},{"id":"PlayerStyle","val":"player2"},{"id":"PlayerWave","val":"show"},{"id":"Favicon","val":"https://mcdn.podbean.com/mf/web/hr9bav/dsh-logo.png"},{"id":"CookiesNotice","val":"hide"},{"id":"CookiesNoticeContent","val":"

Cookies Notice

This website uses cookies to improve your experience while you navigate through the website. By using our website you agree to our use of cookies.

"},{"id":"EpisodePageListenOn","val":"hide"},{"id":"EpisodePageCustomizeComponent","val":"hide"}],"home-header":[{"id":"HomeHeaderTextColor","val":"#ffffff"},{"id":"BackgroundImage","val":"https://mcdn.podbean.com/mf/web/dbi5q5/Home1.png"},{"id":"BackgroundImageForMobile","val":null}],"page-header":[{"id":"PageHeaderTextColor","val":"#ffffff"},{"id":"SecondaryPageBackgroundImage","val":"https://mcdn.podbean.com/mf/web/dbi5q5/Home1.png"},{"id":"SecondaryPageBackgroundImageForMobile","val":"https://mcdn.podbean.com/mf/web/dbi5q5/Home1.png"}],"episode-list":[{"id":"EpisodesPerPage","val":10},{"id":"EpisodeStats","val":"hide"}],"navigation":[{"id":"NavigationFontColor","val":"#ffffff"},{"id":"NavigationBackgroundColor","val":"#000000"},{"id":"NavigationSearch","val":"show"},{"id":"NavigationLinks","val":[{"id":"Home","type":"Link","value":"/","text":"Home","subitems":[]},{"id":"Subscribe","type":"Link","value":"https://discord.gg/4UNKGf3","text":"Discord","subitems":[]},{"id":"899bc672-0623-7245-a647-d542eca24b1e","type":"Link","value":"https://datascienceathome.substack.com/","text":"Newsletter","subitems":[]},{"id":"f439d13a-7bfc-5ccf-7dc8-7dab36194036","type":"Link","value":"https://datascienceathome.podbean.com/p/advertise-with-us-1529680659/","text":"Sponsor","subitems":[]}]}],"footer":[{"id":"FooterType","val":"Footer1"},{"id":"FooterFontColor","val":"#ffffff"},{"id":"FooterBackgroundColor","val":"#3E4677"},{"id":"FooterCopyright","val":"Copyright 2026 datascienceathome.com All rights reserved."},{"id":"SocialMediaLinks","val":{"facebook_username":"","twitter_username":"datascienceAH","instagram_username":"datascienceathome","youtube_username":"","linkedin_username":"company/87169754/admin/feed/posts/"}}],"customize-container1":[],"customize-container":[{"id":"EpisodeListType","val":"grid"},{"id":"ComponentImageText-1","val":{"ComponentFontColor":"#000000","ComponentBackgroundColor":"#f2f2f2","ComponentImage":"/assets/customize-component1.png","ComponentContent":"

Become a sponsor

Data Science at Home is the top-10 best data science podcasts on Apple Podcasts, Spotify, Stitcher, Podbean and many more aggregators.
We reach our audience on a weekly basis via 30-minute episodes enriched with blog posts and show notes. Our episodes reach a highly targeted audience across a wide demographics and globally distributed.

Data Science at home currently accepts at most two advertising slots per episode. The scheduled episode for your advertising campaign will be defined by our team, depending on the topic and the current advertising queue.

Our team is available to give you recommendations about your application and to discuss rates. Please send a direct email to media@amethix.com to make first contact. After connecting, we will share the best available date for you to proceed with the onboarding.

We promote services and products related to IT, Internet services, Research, Data Science, Machine learning, Fintech and Banking, Healthcare, Energy, etc. Below are some of the most recent statistics of the show.

"}},{"id":"ComponentText-c1424275-3d2f-ec0c-1bcd-b9c575afcfbd","val":{"ComponentFontColor":"#000000","ComponentBackgroundColor":"#f2f2f2","ComponentContent":"

About this Show

Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms.
The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field

"}}]},"allLinks":[],"mainStylesDefaultSettings":null,"defaultCustomizeComponents":null,"scripts":["\r\n (function(i,s,o,g,r,a,m){i['GoogleAnalyticsObject']=r;i[r]=i[r]||function(){\r\n (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o),\r\n m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m)\r\n })(window,document,'script','//www.google-analytics.com/analytics.js','ga');\r\n\r\n ga('create', 'UA-37903879-3', 'auto');\r\n ga('send', 'pageview');\r\n\r\n"],"metas":null,"appConfig":{"package":"com.podbean.app.podcast","app_store_id":973361050,"app_name":"Podbean","scheme":"podbean"},"customizeCss":null,"canEditCss":null,"enableJsCodeInCustomizeContent":false,"enabledIframeCodeInCustomizeContent":true,"sectionMaxCount":10,"enableEditorLink":true,"enableEditCookiesNotice":true,"siteRedirectToFeed":false,"podcatcherRssUrl":null,"showFeed":true,"showTopBar":false,"enableWebSiteLike":true,"organizationName":null,"organizationPageLink":null,"subscribeLink":"https://www.podbean.com/site/podcatcher/index/blog/0RY32cGdsld","isPrivateChannel":false},"backToListUrl":"/","tinymceLoaded":false,"listEpisodes":[],"userLikedEpisodes":[],"userLikeCheckedEpisodes":[],"topBarIframeLoaded":false,"listTotalCount":0,"listTotalPage":0,"listPage":0,"listType":"all","listValue":"","listName":"","pageLoading":false,"apiBaseUrl":"https://datascienceathome.podbean.com","apiV2BaseUrl":"","apiCommonParams":{"t":"6a72fa53","clientSignature":"1498fd34bc8b309558d3f5ca394696d3","u":null,"customizing":null},"apiCommonHeaders":{},"comments":[],"commentsTotalCount":0,"commentsTotalPage":0,"commentsPage":1,"commentEpisodeId":"pb7048615-dk6hh","episode":{"id":"pb7048615","idTag":"dk6hh","title":"Episode 11: Representative Subsets For Big Data Learning","logo":"https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog1799802/dsh_logo_v2.png","shareLogo":"https://d2bwo9zemjwxh5.cloudfront.net/ep-logo/pbblog1799802/dsh_logo_v2_1200x628.jpg?s=70fa28b7c169276d87f6bcbdbfd47393&e=png","largeLogo":"https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog1799802/dsh_logo_v2.png","previewContent":null,"content":"

How would you perform accurate classification on a very large dataset by just looking at a sample of it

","publishTimestamp":1462273200,"duration":1285,"mediaUrl":"https://mcdn.podbean.com/mf/web/xhjg4s/datascience_episode_roccolangone.mp3","mediaType":"audio/mpeg","shareLink":"https://admin5.podbean.com/embed.html?id=pb-dk6hh-6b8da7","likedCount":null,"deepLink":"https://www.podbean.com/ew/pb-dk6hh-6b8da7","transcriptUrl":null,"permalink":"/e/representative-subsets-for-big-data-learning/","downloadLink":"https://www.podbean.com/media/share/pb-dk6hh-6b8da7?download=1","fallbackResource":null,"fallbackResourceMimetype":null,"downloadCount":0,"status":"publish","hasMoreContent":false,"chaptersUrl":null,"explicit":false},"episodeShareLink":null,"deepLink":"https://www.podbean.com/ew/pb-dk6hh-6b8da7","playlist":{"episodes":[],"current":0,"start":0,"stop":0,"playing":true,"playerLoading":true,"playbackRate":1,"playbackRateIndex":1,"volume":1},"toasts":[],"confirm":null,"customizeEditorFormZIndex":999,"lastRequestTime":null,"validateChangesOnBeforeunload":true,"windowWidth":1000,"previewDevice":"desktop","VITE_FS1_CDN_URL_PREFIX":"https://pbcdn1.podbean.com/fs1","reloadStats":false,"userIdEncrypted":null,"userProfilePicture":null,"username":null,"isVerified":false,"loadUserInfo":false,"loginUrl":"https://www.podbean.com/site/user/login?return=https%253A%252F%252Fdatascienceathome.podbean.com%252Fe%252Frepresentative-subsets-for-big-data-learning%252F&rts=b185b9736642e59f8c92c607fa541b0b74171b23","recaptchaV3Loaded":false,"recaptchaV2Loaded":false,"likesLoaded":false,"commentLikeMap":{},"commentOffset":0,"widgetCommentsLoaded":false},"episode":{"id":"pb7048615","idTag":"dk6hh","title":"Episode 11: Representative Subsets For Big Data Learning","logo":"https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog1799802/dsh_logo_v2.png","shareLogo":"https://d2bwo9zemjwxh5.cloudfront.net/ep-logo/pbblog1799802/dsh_logo_v2_1200x628.jpg?s=70fa28b7c169276d87f6bcbdbfd47393&e=png","largeLogo":"https://pbcdn1.podbean.com/imglogo/ep-logo/pbblog1799802/dsh_logo_v2.png","previewContent":null,"content":"

How would you perform accurate classification on a very large dataset by just looking at a sample of it