{"id":8207,"date":"2020-02-17T16:08:38","date_gmt":"2020-02-17T15:08:38","guid":{"rendered":"https:\/\/www.uni.lu\/fr\/events\/data-science-meetup-randomness-in-itunes-and-a-neurips-review\/"},"modified":"2020-02-17T16:08:38","modified_gmt":"2020-02-17T15:08:38","slug":"data-science-meetup-randomness-in-itunes-and-a-neurips-review","status":"publish","type":"events","link":"https:\/\/www.uni.lu\/fr\/events\/data-science-meetup-randomness-in-itunes-and-a-neurips-review\/","title":{"rendered":"Data Science Meetup: Randomness in iTunes and a NeurIPS Review"},"content":{"rendered":"<section class=\"wp-block-unilux-blocks-free-section section\"><div class=\"container xl:max-w-screen-xl\"><p>If you&rsquo;d like to attend, please use this <a href=\"https:\/\/www.meetup.com\/LuxRgroup\/events\/268663984\/\" target=\"_self\" title=\"\" rel=\"noopener\">link<\/a>\u00a0<\/p>Is iTunes random? Experiments about iTunes randomness<p>3h of road, 794 songs in my iTunes library, at least 20 songs repeating twice, 3 repeating thrice. Is it normal? Let\u2019s experiment to assess randomness and see if there is a bias in software or in our human perception of randomness. We will also discuss mathematical paradoxes the birthday problem and the coupons collector\u2019s problem.<\/p><p>Fr\u00e4ntz Miccoli is passionate about software and data science. He is the CTO and COO of Nexvia, he also teaches in business school and engineering school.<\/p><p><\/p>NeurIPS 2019 and Blaise Aguera y Arcas&rsquo; talk: Social Intelligence<p>In this talk, we give a brief overview of last year&rsquo;s NeurIPS conference which took place beginning of last December in Vancouver, Canada. Afterwards, we stream one of the highlights from the conference Blaise Aguera y Arcas&rsquo; invited talk \u201cSocial intelligence\u201d. Blaise leads an organization at Google AI working on both basic research and new products. Among the team&rsquo;s public contributions are MobileNets, Federated Learning, Coral, and many Android and Pixel AI features. In his talk, he starts by discussing privacy and agency in today&rsquo;s ML landscape, noting how new technologies for efficient on-device inference and federated computation offer ways to scale beneficial applications without incurring many of the downsides of current mainstream methods. He then delve deeper into the limitations of the optimization framework for ML, and explore alternative approaches involving meta-learning, evolution strategies, populations, sociality, and cultural accumulation.<\/p><\/div><\/section>","protected":false},"excerpt":{"rendered":"<p>If you&rsquo;d like to attend, please use this link\u00a0<\/p>\n","protected":false},"author":0,"featured_media":8208,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"closed","template":"","format":"standard","meta":{"featured_image_focal_point":[],"show_featured_caption":false,"ulux_newsletter_groups":"","uluxPostTitle":"","uluxPrePostTitle":"","_trash_the_other_posts":false,"_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"event_start_date":"2020-03-03 19:00:00","event_end_date":"2020-03-03 21:00:00","event_speaker_name":"","event_speaker_link":"","event_is_online":false,"event_location":"Room E004\r\nJFK Building\r\n29 Avenue J.F. Kennedy\r\nL-1855 Kirchberg","event_street":"","event_location_link":"","event_zip_code":"","event_city":"","event_country":"LU"},"events-topic":[],"events-type":[],"organisation":[184,226],"authorship":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v22.3) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science Meetup: Randomness in iTunes and a NeurIPS Review - Universit\u00e9 du Luxembourg<\/title>\n<meta name=\"description\" content=\"If you&#039;d like to attend, please use this link\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.uni.lu\/fr\/events\/data-science-meetup-randomness-in-itunes-and-a-neurips-review\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science Meetup: Randomness in iTunes and a NeurIPS Review\" \/>\n<meta property=\"og:description\" content=\"If you&#039;d like to attend, please use this link\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.uni.lu\/fr\/events\/data-science-meetup-randomness-in-itunes-and-a-neurips-review\/\" \/>\n<meta property=\"og:site_name\" content=\"UNI FR\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/uni.lu\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.uni.lu\/wp-content\/uploads\/sites\/11\/2026\/03\/03120045\/UNIV_SM-Profile_1600x1600px-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"2560\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.uni.lu\/fr\/events\/data-science-meetup-randomness-in-itunes-and-a-neurips-review\/\",\"url\":\"https:\/\/www.uni.lu\/fr\/events\/data-science-meetup-randomness-in-itunes-and-a-neurips-review\/\",\"name\":\"Data Science Meetup: Randomness in iTunes and a NeurIPS Review - 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