{"id":14990,"date":"2016-05-11T06:00:53","date_gmt":"2016-05-11T13:00:53","guid":{"rendered":"http:\/\/insidebigdata.com\/?p=14990"},"modified":"2016-05-09T19:54:39","modified_gmt":"2016-05-10T02:54:39","slug":"data-science-101-general-learning-algorithms","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/","title":{"rendered":"Data Science 101: General Learning Algorithms"},"content":{"rendered":"<p>In the presentation below, Dr. Demis Hassabis from Google DeepMind delivered a talk on &#8220;General Learning Algorithms&#8221; to the <a href=\"https:\/\/royalsociety.org\/events\/2015\/05\/breakthrough-science-technologies-machine-learning\/\" target=\"_blank\">Royal Society<\/a> in London on May 22, 2015. Hassabis is a neuroscientist and leading expert on the neural basis of memory and imagination. He was the co-founder and CEO of DeepMind, a neuroscience-inspired AI company, bought by Google in Jan 2014. He is now Vice President of Engineering at Google DeepMind and leads Google\u2019s general AI efforts. Demis is a former child chess prodigy, who finished his A-levels two years early before coding the multi-million selling simulation game Theme Park aged 17. Following graduation from Cambridge University with a Double First in Computer Science he founded the pioneering videogames company Elixir Studios. After a decade of experience leading successful technology startups, Demis returned to academia to complete a PhD in cognitive neuroscience at UCL.<\/p>\n<p>&nbsp;<\/p>\n<p><iframe loading=\"lazy\"  id=\"_ytid_12716\"  width=\"480\" height=\"270\"  data-origwidth=\"480\" data-origheight=\"270\" src=\"https:\/\/www.youtube.com\/embed\/08Cl7ii6viY?enablejsapi=1&#038;autoplay=0&#038;cc_load_policy=0&#038;cc_lang_pref=&#038;iv_load_policy=1&#038;loop=0&#038;modestbranding=0&#038;rel=1&#038;fs=1&#038;playsinline=0&#038;autohide=2&#038;theme=dark&#038;color=red&#038;controls=1&#038;\" class=\"__youtube_prefs__  epyt-is-override  no-lazyload\" title=\"YouTube player\"  allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture\" allowfullscreen data-no-lazy=\"1\" data-skipgform_ajax_framebjll=\"\"><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<p><em>Sign up for the free insideBIGDATA\u00a0<a href=\"http:\/\/insidebigdata.com\/newsletter\/\" target=\"_blank\">newsletter<\/a>.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the presentation below, Dr. Demis Hassabis from Google DeepMind delivered a talk on &#8220;General Learning Algorithms&#8221; to the Royal Society in London on May 22, 2015. Hassabis was the co-founder and CEO of DeepMind, a neuroscience-inspired AI company, bought by Google in Jan 2014. <\/p>\n","protected":false},"author":37,"featured_media":6406,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[170,68,67,268,1],"tags":[261,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science 101: General Learning Algorithms - insideBIGDATA<\/title>\n<meta name=\"description\" content=\"Data Science 101: General Learning Algorithms\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science 101: General Learning Algorithms - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"Data Science 101: General Learning Algorithms\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2016-05-11T13:00:53+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2016-05-10T02:54:39+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2013\/12\/DataScience101.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"361\" \/>\n\t<meta property=\"og:image:height\" content=\"54\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/\",\"url\":\"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/\",\"name\":\"Data Science 101: General Learning Algorithms - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2016-05-11T13:00:53+00:00\",\"dateModified\":\"2016-05-10T02:54:39+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"description\":\"Data Science 101: General Learning Algorithms\",\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2016\/05\/11\/data-science-101-general-learning-algorithms\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Data Science 101: General Learning Algorithms\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\",\"name\":\"Daniel Gutierrez\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"caption\":\"Daniel Gutierrez\"},\"description\":\"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. 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The featured speaker is Quoc Le, Research Scientist at Google.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":31724,"url":"https:\/\/insidebigdata.com\/2023\/02\/27\/data-science-101-the-data-science-process\/","url_meta":{"origin":14990,"position":1},"title":"Data Science 101: The Data Science Process","date":"February 27, 2023","format":false,"excerpt":"Welcome to insideBIGDATA's Data Science 101 channel brining you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my Introduction to Data Science class I teach at UCLA Extension. 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This class teaches algorithms for extracting models and other information from very large amounts of data.","rel":"","context":"In &quot;Education \/ Training&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]},{"id":32220,"url":"https:\/\/insidebigdata.com\/2023\/04\/28\/data-science-101-the-data-science-venn-diagram\/","url_meta":{"origin":14990,"position":3},"title":"Data Science 101: The Data Science Venn Diagram","date":"April 28, 2023","format":false,"excerpt":"Welcome to insideBIGDATA\u2019s\u00a0Data Science 101\u00a0channel bringing you perspectives for the topics of the day in data science, machine learning, AI and deep learning. Many of the video presentations come from my lectures for my\u00a0Introduction to Data Science\u00a0class I teach at UCLA Extension. 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This is needed for any rigorous analysis of models or machine learning algorithms.","rel":"","context":"In &quot;Data Science 101&quot;","img":{"alt_text":"","src":"","width":0,"height":0},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/14990"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=14990"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/14990\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/6406"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=14990"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=14990"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=14990"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}