{"id":8297,"date":"2025-11-12T07:03:08","date_gmt":"2025-11-12T07:03:08","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/12\/the-three-ages-of-data-science-when-to-use-traditional-machine-learning-deep-learning-or-a-large-language-models-explained-with-one-example\/"},"modified":"2025-11-12T07:03:08","modified_gmt":"2025-11-12T07:03:08","slug":"the-three-ages-of-data-science-when-to-use-traditional-machine-learning-deep-learning-or-a-large-language-models-explained-with-one-example","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/12\/the-three-ages-of-data-science-when-to-use-traditional-machine-learning-deep-learning-or-a-large-language-models-explained-with-one-example\/","title":{"rendered":"The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)"},"content":{"rendered":"<p>    The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>A practical use case to describe how the data scientist job changed across three generations of machine learning<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/the-three-ages-of-data-science-when-to-use-traditional-machine-learning-deep-learning-or-a-large-language-models-explained-with-one-example\/\">The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example)<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Piero Paialunga<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/the-three-ages-of-data-science-when-to-use-traditional-machine-learning-deep-learning-or-a-large-language-models-explained-with-one-example\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, or an LLM (Explained with One Example) A practical use case to describe how the data scientist job changed across three generations of machine learning The post The Three Ages of Data Science: When to Use Traditional Machine Learning, Deep Learning, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,69,83,67,71,70,1408],"tags":[84,199,939],"class_list":["post-8297","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-artificial-intelligence","category-data-science","category-deep-dives","category-large-language-models","category-machine-learning","category-sentiment-analysis","tag-data","tag-learning","tag-three"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8297"}],"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=8297"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8297\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8297"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8297"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8297"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}