{"id":14773,"date":"2025-01-13T09:26:01","date_gmt":"2025-01-13T15:26:01","guid":{"rendered":"https:\/\/uwm.edu\/math\/?post_type=tribe_events&#038;p=14773"},"modified":"2025-02-05T09:29:43","modified_gmt":"2025-02-05T15:29:43","slug":"colloquium-mike-clutterbuck","status":"publish","type":"tribe_events","link":"https:\/\/uwm.edu\/math\/event\/colloquium-mike-clutterbuck\/","title":{"rendered":"Colloquium: Mr. Mike Clutterbuck"},"content":{"rendered":"<h1><img loading=\"lazy\" decoding=\"async\" class=\"size-full wp-image-14841 aligncenter\" src=\"https:\/\/uwm.edu\/math\/wp-content\/uploads\/sites\/112\/2025\/01\/CLUTTERBUCK_BANNER.jpg\" alt=\"\" width=\"984\" height=\"504\" srcset=\"https:\/\/uwm.edu\/math\/wp-content\/uploads\/sites\/112\/2025\/01\/CLUTTERBUCK_BANNER.jpg 984w, https:\/\/uwm.edu\/math\/wp-content\/uploads\/sites\/112\/2025\/01\/CLUTTERBUCK_BANNER-300x154.jpg 300w, https:\/\/uwm.edu\/math\/wp-content\/uploads\/sites\/112\/2025\/01\/CLUTTERBUCK_BANNER-768x393.jpg 768w\" sizes=\"auto, (max-width: 984px) 100vw, 984px\" \/>Embeddings: The Language of AI<\/h1>\n<p>Mr. Mike Clutterbuck<br \/>\nLead Data Scientist<br \/>\nWantable Inc.<\/p>\n<p>Embeddings are a core concept in machine learning that help AI understand and organize complex data. They take things like words, images, or user behavior and turn them into compact numerical representations, making it easier for AI to spot patterns and relationships. This is how LLMs understand language and recommendation systems personalize content.<\/p>\n<p>Mathematically, embeddings work by placing similar items closer together in a structured space, using techniques like matrix factorization, neural networks, and dimensionality reduction. This makes them essential for search, personalization, fraud detection, next-word prediction, and more. While they might seem abstract, embeddings are working behind the scenes in many of the AI-powered products and tools we use today<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Embeddings: The Language of AI Mr. Mike Clutterbuck Lead Data Scientist Wantable Inc. Embeddings are a core concept in machine learning that help AI understand and organize complex data. They take things like words, images, or user behavior and turn &hellip;<\/p>\n","protected":false},"author":4217,"featured_media":0,"template":"","meta":{"_acf_changed":false,"_tribe_events_status":"","_tribe_events_status_reason":"","_tribe_events_is_hybrid":"","_tribe_events_is_virtual":"","_tribe_events_virtual_video_source":"","_tribe_events_virtual_embed_video":"","_tribe_events_virtual_linked_button_text":"","_tribe_events_virtual_linked_button":"","_tribe_events_virtual_show_embed_at":"","_tribe_events_virtual_show_embed_to":[],"_tribe_events_virtual_show_on_event":"","_tribe_events_virtual_show_on_views":"","_tribe_events_virtual_url":"","footnotes":"","uwm_wg_additional_authors":[]},"tags":[],"tribe_events_cat":[41],"class_list":["post-14773","tribe_events","type-tribe_events","status-publish","hentry","tribe_events_cat-colloquia","cat_colloquia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.3 (Yoast SEO v27.3) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Mathematical Sciences<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/uwm.edu\/math\/event\/colloquium-mike-clutterbuck\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Colloquium: Mr. Mike Clutterbuck\" \/>\n<meta property=\"og:description\" content=\"Embeddings: The Language of AI Mr. Mike Clutterbuck Lead Data Scientist Wantable Inc. 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