The Elements of Data Analytic Style (Bosansko Izdanje)
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The Elements of Data Analytic Style (Bosansko Izdanje)

Vodič za ljude koji žele analizirati podatke.

O Knjizi

Analiza podataka je barem koliko umjetnost, toliko i znanost. Ova knjiga je fokusirana na detalje analize podataka koji ponekad izmaknu u tradicionalnim statističkim časovima i udžbenicima. Temelji se djelomično na blog postovima autora, materijalima s predavanja i uputama kao što su:

Autor je jedan od ko-razvijača Specijalizacije Johns Hopkins u Naučnoj obradi podataka - najvećeg programa naučne obrade podataka na svijetu koji je upisao više od 1,76 miliona ljudi. Knjiga je korisna kao dopuna uvodnim kursusima iz naučne obrade podataka ili analize podataka. Također je koristan referentni alat za ljude koji imaju zadatak čitati i kritikovati analize podataka.

Ova knjiga je prevod na Bosanski sa The Elements of Data Analytic Style koja je prvobitno napisana na Engleski.

O Autorima

Jeffrey Leek
Jeff Leek

Jeff Leek is an Associate Professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health. His research focuses on the intersection of high dimensional data analysis, genomics, and public health. He is the co-editor of the popular Simply Statistics Blog and co-director of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people.

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To see the output of TranslateAI right now, you can check out these two books: How To Be a Modern Scientist and The Elements of Data Analytic Style by bestselling Leanpub author Jeffrey Leek.

Both of these books have been translated into 31 languages using our innovative TranslateAI service for non-fiction authors! Scroll down on the books' landing pages to see the translations. (Both these books and all their translations have a free minimum price, so feel free to buy it for free in both the English language version and in one or more translations if you want to see what TranslateAI can do.)

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More Questions?

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However, the best thing to do might be to just try the service, since there's literally no risk...

Sadržaj

  • 1. Uvod
  • 2. Pitanje analize podataka
  • 3. Organizacija podataka
  • 4. Provjera podataka
  • 5. Eksplorativna analiza
  • 6. Statističko modeliranje i inferencija
  • 7. Predikcija i mašinsko učenje
  • 8. Uzročnost
  • 9. Napisane analize
  • 10. Izrada figura
  • 11. Predstavljanje podataka
  • 12. Reproducibilnost
  • 13. Nekoliko pitanja forme
  • 14. Kontrolna lista za analizu podataka
  • 15. Dodatni resursi

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