{"id":4371,"date":"2021-02-06T06:34:39","date_gmt":"2021-02-06T06:34:39","guid":{"rendered":"https:\/\/www.aiproblog.com\/index.php\/2021\/02\/06\/essential-math-for-data-science-introduction-to-matrices-and-the-matrix-product\/"},"modified":"2021-02-06T06:34:39","modified_gmt":"2021-02-06T06:34:39","slug":"essential-math-for-data-science-introduction-to-matrices-and-the-matrix-product","status":"publish","type":"post","link":"https:\/\/www.aiproblog.com\/index.php\/2021\/02\/06\/essential-math-for-data-science-introduction-to-matrices-and-the-matrix-product\/","title":{"rendered":"Essential Math for Data Science: Introduction to Matrices and the Matrix Product"},"content":{"rendered":"<p>Author: Matt Mayo Editor<\/p>\n<div>As vectors, matrices are data structures allowing you to organize numbers. They are square or rectangular arrays containing values organized in two dimensions: as rows and columns. You can think of them as a spreadsheet. Learn more here.<\/div>\n<p><a href=\"https:\/\/www.kdnuggets.com\/2021\/02\/essential-math-data-science-matrices-matrix-product.html\">Go to Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Author: Matt Mayo Editor As vectors, matrices are data structures allowing you to organize numbers. They are square or rectangular arrays containing values organized in [&hellip;] <span class=\"read-more-link\"><a class=\"read-more\" href=\"https:\/\/www.aiproblog.com\/index.php\/2021\/02\/06\/essential-math-for-data-science-introduction-to-matrices-and-the-matrix-product\/\">Read More<\/a><\/span><\/p>\n","protected":false},"author":1,"featured_media":472,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[26],"tags":[],"_links":{"self":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/4371"}],"collection":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/comments?post=4371"}],"version-history":[{"count":0,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/posts\/4371\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media\/462"}],"wp:attachment":[{"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/media?parent=4371"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/categories?post=4371"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.aiproblog.com\/index.php\/wp-json\/wp\/v2\/tags?post=4371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}