{"id":3397,"date":"2024-09-01T13:34:46","date_gmt":"2024-09-01T13:34:46","guid":{"rendered":"https:\/\/workhouse.sweetdishy.com\/?p=3397"},"modified":"2024-09-01T13:34:46","modified_gmt":"2024-09-01T13:34:46","slug":"key-takeaways-2","status":"publish","type":"post","link":"https:\/\/workhouse.sweetdishy.com\/index.php\/2024\/09\/01\/key-takeaways-2\/","title":{"rendered":"Key Takeaways"},"content":{"rendered":"\n<ul class=\"wp-block-list\">\n<li>Structured data&nbsp;is labeled and formatted\u2014and is often stored in a&nbsp;relational database&nbsp;or spreadsheet.<\/li>\n\n\n\n<li>Unstructured data&nbsp;is information that has no predefined formatting.<\/li>\n\n\n\n<li>Semi-structured data has some internal tags that help with categorization.<\/li>\n\n\n\n<li>Big Data describes a way to handle huge amounts of volumes of information.<\/li>\n\n\n\n<li>A&nbsp;relational database&nbsp;is based on relationships of data. But this structure can prove difficult for modern-day applications, such as AI.<\/li>\n\n\n\n<li>A&nbsp;NoSQL&nbsp;database is more free-form, being based on a document model. This has made it better able to deal with unstructured and semi-structured data.<\/li>\n\n\n\n<li>The&nbsp;CRISP-DM&nbsp;Process provides a way to manage data for a project, with steps that include business understanding, data understanding, data preparation, modelling, evaluation, and deployment.<\/li>\n\n\n\n<li>Quantity of data is certainly important, but there also needs to be much work on the quality. Even small errors can have a huge impact on the results of an AI model.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":3391,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[440],"tags":[],"class_list":["post-3397","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-2-data"],"jetpack_featured_media_url":"https:\/\/workhouse.sweetdishy.com\/wp-content\/uploads\/2024\/09\/data-science-1.png","_links":{"self":[{"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/posts\/3397","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/comments?post=3397"}],"version-history":[{"count":1,"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/posts\/3397\/revisions"}],"predecessor-version":[{"id":3398,"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/posts\/3397\/revisions\/3398"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/media\/3391"}],"wp:attachment":[{"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/media?parent=3397"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/categories?post=3397"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/workhouse.sweetdishy.com\/index.php\/wp-json\/wp\/v2\/tags?post=3397"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}