{"id":6499,"date":"2025-09-01T07:02:26","date_gmt":"2025-09-01T07:02:26","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/09\/01\/advice_for_dsasmle_interviews\/"},"modified":"2025-09-01T07:02:26","modified_gmt":"2025-09-01T07:02:26","slug":"advice_for_dsasmle_interviews","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/09\/01\/advice_for_dsasmle_interviews\/","title":{"rendered":"Advice for DS\/AS\/MLE interviews"},"content":{"rendered":"<p>    Advice for DS\/AS\/MLE interviews<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>I am looking for data scientist (ML heavy), applied scientist or ML engineer roles in product based companies. For my interview preperation, I am unsure about which book or resources to pick so that I can cover the rigor of ML rounds in these interviews. I have background in CS and have fair knowledge of ML. Anyone who cracked such roles or have any experience that can help me? <\/p>\n<p>PS: I was considering reading Kevin Murphy&#8217;s ML book but it is too heavy on math so I am not sure if that much of rigor is required for these kind of interviews. I am not looking for research roles. <\/p>\n<\/p><\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/alpha_centauri9889\"> \/u\/alpha_centauri9889 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1n4bamu\/advice_for_dsasmle_interviews\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1n4bamu\/advice_for_dsasmle_interviews\/\">[comments]<\/a><\/span>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    \/u\/alpha_centauri9889<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/www.reddit.com\/r\/datascience\/comments\/1n4bamu\/advice_for_dsasmle_interviews\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Advice for DS\/AS\/MLE interviews I am looking for data scientist (ML heavy), applied scientist or ML engineer roles in product based companies. For my interview preperation, I am unsure about which book or resources to pick so that I can cover the rigor of ML rounds in these interviews. I have background in CS and [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,99],"tags":[107,282,859],"class_list":["post-6499","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-datascience","tag-am","tag-interviews","tag-ml"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6499"}],"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=6499"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/6499\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=6499"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=6499"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=6499"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}