{"id":6665,"date":"2018-12-28T02:00:22","date_gmt":"2018-12-28T10:00:22","guid":{"rendered":"http:\/\/softwareengineeringdaily.com\/?p=6665"},"modified":"2021-11-01T20:05:21","modified_gmt":"2021-11-02T03:05:21","slug":"word2vec-with-adrian-colyer-holiday-repeat","status":"publish","type":"post","link":"https:\/\/softwareengineeringdaily.com\/2018\/12\/28\/word2vec-with-adrian-colyer-holiday-repeat\/","title":{"rendered":"Word2Vec with Adrian Colyer Holiday Repeat"},"content":{"rendered":"<p><img decoding=\"async\" data-attachment-id=\"2475\" data-permalink=\"https:\/\/softwareengineeringdaily.com\/2016\/04\/19\/googles-container-management-brendan-burns\/brendan-burns\/\" data-orig-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2016\/04\/brendan-burns.jpg?fit=175%2C175&amp;ssl=1\" data-orig-size=\"175,175\" data-comments-opened=\"0\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"brendan-burns\" data-image-description=\"\" data-image-caption=\"\" data-medium-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2016\/04\/brendan-burns.jpg?fit=175%2C175&amp;ssl=1\" data-large-file=\"https:\/\/i0.wp.com\/softwareengineeringdaily.com\/wp-content\/uploads\/2016\/04\/brendan-burns.jpg?fit=175%2C175&amp;ssl=1\" class=\"alignright size-full wp-image-2475\" style=\"border-radius: 50%; border: 1px solid #000000; max-width: 175px; max-height: 175px;\" src=\"https:\/\/i0.wp.com\/2015.nosql-matters.org\/dub\/wp-content\/uploads\/2015\/04\/Adrian-Colyer.jpg?resize=175%2C175&#038;ssl=1\" width=\"175\" height=\"175\" data-recalc-dims=\"1\" \/><\/p>\n<p><em>Originally posted on 13 September 2017.<\/em><\/p>\n<p><span style=\"font-weight: 400;\">Machines understand the world through mathematical representations. In order to train a machine learning model, we need to describe everything in terms of numbers. \u00a0Images, words, and sounds are too abstract for a computer. But a series of numbers is a representation that we can all agree on, whether we are a computer or a human.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">In recent shows, we have explored how to train machine learning models to understand images and video. Today, we explore words. You might be thinking&#8211;\u201disn\u2019t a word easy to understand? Can\u2019t you just take the dictionary definition?\u201d A dictionary definition does not capture the richness of a word. Dictionaries do not give you a way to measure similarity between one word and all other words in a given language.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Word2vec is a system for defining words in terms of the words that appear close to that word. For example, the sentence \u201cHoward is sitting in a Starbucks cafe drinking a cup of coffee\u201d gives an obvious indication that the words \u201ccafe,\u201d \u201ccup,\u201d and \u201ccoffee\u201d are all related. With enough sentences like that, we can start to understand the entire language.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Adrian Colyer is a venture capitalist with Accel, and blogs about technical topics <\/span><a href=\"https:\/\/blog.acolyer.org\/2016\/04\/21\/the-amazing-power-of-word-vectors\/\"><span style=\"font-weight: 400;\">such as word2vec<\/span><\/a><span style=\"font-weight: 400;\">. We talked about word2vec specifically, and the deep learning space more generally. We also explored how the rapidly improving tools around deep learning are changing the venture investment landscape.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Originally posted on 13 September 2017. Machines understand the world through mathematical representations. In order to train a machine learning model, we need to describe everything in terms of numbers. \u00a0Images, words, and sounds are too abstract for a computer. But a series of numbers is a representation that we can all agree on, whether<\/p>\n","protected":false},"author":16,"featured_media":3959,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"Word2Vec with Adrian Colyer Holiday Repeat","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false}}},"categories":[1363,2143,1080,14],"tags":[311],"class_list":["post-6665","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-all-episodes","category-exclusive-content","category-machine-learning","category-podcast","tag-machine-learning"],"jetpack_publicize_connections":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Word2Vec with Adrian Colyer Holiday Repeat - Software Engineering Daily<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/softwareengineeringdaily.com\/2018\/12\/28\/word2vec-with-adrian-colyer-holiday-repeat\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Word2Vec with Adrian Colyer Holiday Repeat - Software Engineering Daily\" \/>\n<meta property=\"og:description\" content=\"Originally posted on 13 September 2017. Machines understand the world through mathematical representations. In order to train a machine learning model, we need to describe everything in terms of numbers. \u00a0Images, words, and sounds are too abstract for a computer. 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