{"id":400,"date":"2024-10-08T17:20:22","date_gmt":"2024-10-08T17:20:22","guid":{"rendered":"https:\/\/www.keithdillon.com\/?page_id=400"},"modified":"2024-10-08T20:28:41","modified_gmt":"2024-10-08T20:28:41","slug":"bootcamp","status":"publish","type":"page","link":"https:\/\/www.keithdillon.com\/index.php\/bootcamp\/","title":{"rendered":"Bootcamp"},"content":{"rendered":"<h3>Programming<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.keithdillon.com\/classes\/UMMC\/Bootcamp\/__python_cheatsheets_01.html\">Python basics<\/a><\/li>\n<li><a href=\"https:\/\/www.keithdillon.com\/classes\/UMMC\/Bootcamp\/__python_exercises_01.html\">Python exercises<\/a><\/li>\n<\/ul>\n<h3>Mathematics<\/h3>\n<ul>\n<li><a href=\"https:\/\/www.keithdillon.com\/classes\/UMMC\/Bootcamp\/__matrix_review_01.html\">Matrix multiplication review<\/a><\/li>\n<\/ul>\n<h3>Reference Material<\/h3>\n<ul>\n<li>\n<div class=\"x_elementToProof\">\n<p>&#8220;<em>Introduction to Applied Linear Algebra \u2013 Vectors, Matrices, and Least Squares&#8221;<\/em>, <a href=\"https:\/\/www.stanford.edu\/~boyd\/\">Stephen Boyd<\/a> and <a href=\"https:\/\/www.ee.ucla.edu\/~vandenbe\/\">Lieven Vandenberghe<\/a>, 2018. Provides a very gentle introduction to linear algebra from an intuitive perspective.<\/p>\n<div class=\"x_elementToProof\">Book: <a id=\"LPlnk239225\" class=\"x_OWAAutoLink\" href=\"https:\/\/web.stanford.edu\/~boyd\/vmls\/\" target=\"_blank\" rel=\"noopener noreferrer\" data-auth=\"NotApplicable\" data-linkindex=\"0\">https:\/\/web.stanford.edu\/~boyd\/vmls\/<\/a><\/div>\n<div class=\"x_elementToProof\">Videos: <a id=\"LPlnk\" class=\"x_OWAAutoLink\" href=\"https:\/\/www.youtube.com\/playlist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9\" target=\"_blank\" rel=\"noopener noreferrer\" data-auth=\"NotApplicable\" data-linkindex=\"1\">https:\/\/www.youtube.com\/playlist?list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9<\/a><\/div>\n<\/div>\n<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Programming Python basics Python exercises Mathematics Matrix multiplication review Reference Material &#8220;Introduction to Applied Linear Algebra \u2013 Vectors, Matrices, and Least Squares&#8221;, Stephen Boyd and Lieven Vandenberghe, 2018. Provides a very gentle introduction to linear algebra from an intuitive perspective.<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"_links":{"self":[{"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/pages\/400"}],"collection":[{"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/comments?post=400"}],"version-history":[{"count":6,"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/pages\/400\/revisions"}],"predecessor-version":[{"id":407,"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/pages\/400\/revisions\/407"}],"wp:attachment":[{"href":"https:\/\/www.keithdillon.com\/index.php\/wp-json\/wp\/v2\/media?parent=400"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}