{"id":81509,"date":"2023-05-08T10:43:09","date_gmt":"2023-05-08T08:43:09","guid":{"rendered":"https:\/\/podcast.rs\/disfunkcionalnost-definicija-data-science-a\/"},"modified":"2023-05-08T10:43:09","modified_gmt":"2023-05-08T08:43:09","slug":"disfunkcionalnost-definicija-data-science-a","status":"publish","type":"post","link":"https:\/\/podcast.rs\/en\/disfunkcionalnost-definicija-data-science-a\/","title":{"rendered":"Disfunkcionalnost definicija Data Science-a"},"content":{"rendered":"

Chapters:<\/p>\n

00:00 – Uvod<\/p>\n

00:52 – Za\u0161to smo po\u010deli sa podkastom<\/p>\n

02:30 – O \u010demu \u0107emo pri\u010dati<\/p>\n

04:25 -Ta\u010dne teme \u00a0<\/p>\n

06:50 – Da li je AI izasao iz R&D-a?<\/p>\n

09:25 – Disfunkcionalnost definicija \u00a0<\/p>\n

10:22 – Razlika Data Analyst i Business analysts<\/p>\n

14:04 – Razlika Data engineer & ML engineer \u00a0<\/p>\n

16:55 – Data Scientist<\/p>\n

18:56 – Kako je nastao termin Data Scientist?<\/p>\n

21:33 – Sta je to AI?<\/p>\n

24:38 – Artificial General Intelligence<\/p>\n

25:35 – Domaca scena Data science-a \u00a0 \u00a0<\/p>\n

29:35 – PhotoMath origins \u00a0<\/p>\n

31:53 – Beograd<\/p>\n

33:42 – Top kompanije u regionu<\/p>\n

37:33 – Kraj<\/p>","protected":false},"excerpt":{"rendered":"

Dobrodo\u0161li u prvu epizodu podcasta „Data Minds“, gde \u0107emo razgovarati o svemu vezanom za ve\u0161ta\u010dku inteligenciju i Data Science.<\/p>\n

U ovoj epizodi, istra\u017eujemo najzna\u010dajnije teme u ovoj oblasti, a to su naravno razlike u terminologijama i same definicije.
\n Razlike izme\u0111u Data analitike, Data Science-a i Machine Learning-a, AI tehnologija, razvoj ve\u0161ta\u010dke op\u0161te inteligencije i jo\u0161 mnogo toga.
\nPridru\u017eite nam se u razgovoru o tome kako ova oblast menja na\u0161 svet i kako mo\u017eemo da iskoristimo njene mogu\u0107nosti da pobolj\u0161amo na\u0161u svakodnevicu.<\/p>\n

Promenimo svet kroz podatke!<\/p>","protected":false},"author":3,"featured_media":81506,"comment_status":"","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[530],"tags":[],"class_list":["post-81509","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-minds-podcast"],"_links":{"self":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts\/81509","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/comments?post=81509"}],"version-history":[{"count":0,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/posts\/81509\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/media\/81506"}],"wp:attachment":[{"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/media?parent=81509"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/categories?post=81509"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/podcast.rs\/en\/wp-json\/wp\/v2\/tags?post=81509"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}