{"id":804,"date":"2024-12-25T07:02:32","date_gmt":"2024-12-25T07:02:32","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2024\/12\/25\/a-birds-eye-view-of-linear-algebra-orthonormal-matrices-856a2ca040aa\/"},"modified":"2024-12-25T07:02:32","modified_gmt":"2024-12-25T07:02:32","slug":"a-birds-eye-view-of-linear-algebra-orthonormal-matrices-856a2ca040aa","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2024\/12\/25\/a-birds-eye-view-of-linear-algebra-orthonormal-matrices-856a2ca040aa\/","title":{"rendered":"A Bird\u2019s-Eye View of Linear Algebra: Orthonormal Matrices"},"content":{"rendered":"<p>    A Bird\u2019s-Eye View of Linear Algebra: Orthonormal Matrices<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<div class=\"medium-feed-item\">\n<p class=\"medium-feed-image\"><a href=\"https:\/\/towardsdatascience.com\/a-birds-eye-view-of-linear-algebra-orthonormal-matrices-856a2ca040aa\"><img data-recalc-dims=\"1\" decoding=\"async\" src=\"https:\/\/i0.wp.com\/cdn-images-1.medium.com\/max\/1024\/1%2ATIITEqqAPg9MTXJCSuHO9Q.png?w=1024&#038;ssl=1\" ><\/a><\/p>\n<p class=\"medium-feed-snippet\">Orthonormal matrices: the most elegant matrices in all of linear algebra.<\/p>\n<p class=\"medium-feed-link\"><a href=\"https:\/\/towardsdatascience.com\/a-birds-eye-view-of-linear-algebra-orthonormal-matrices-856a2ca040aa\">Continue reading on Towards Data Science \u00bb<\/a><\/p>\n<\/div>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Rohit Pandey<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/medium.com\/m\/global-identity-2?redirectUrl=https%3A%2F%2Ftowardsdatascience.com%2Fa-birds-eye-view-of-linear-algebra-orthonormal-matrices-856a2ca040aa\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>A Bird\u2019s-Eye View of Linear Algebra: Orthonormal Matrices Orthonormal matrices: the most elegant matrices in all of linear algebra. Continue reading on Towards Data Science \u00bb Rohit Pandey Go to original source<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,83,67,393,599,392],"tags":[916,496,915],"class_list":["post-804","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-deep-dives","category-linear-algebra","category-mathematics","category-matrix","tag-algebra","tag-linear","tag-matrices"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/804"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=804"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/804\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=804"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=804"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=804"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}