April 2024
Intermediate to advanced
398 pages
11h 1m
Polish
book
Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu.
by Kyle Gallatin, Chris Albon
Content preview from Uczenie maszynowe w Pythonie. Receptury. Od przygotowania danych do deep learningu.
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Rozdział 3. Przygotowywanie danych
3.0. Wprowadzenie
Przygotowywanie danych (ang. data wrangling) to dość często używane pojęcie, najczęściej w celu opisania procesu przekształcenia niezmodyfikowanych danych na postać czystego i zorganizowanego formatu informacji gotowych do użycia. Dla nas to tylko jeden — choć zarazem niezwykle ważny — krok na etapie wstępnego przetwarzania danych.
Najczęściej wykorzystywaną strukturą stosowaną do przygotowywania danych jest tzw. ramka danych, która jest intuicyjna w użyciu i jednocześnie niezwykle elastyczna. Ramka danych ma postać tabelaryczną, co oznacza, że została oparta na wierszach i kolumnach, podobnie jak dane przechowywane w arkuszu kalkulacyjnym. Oto przykład ramki danych utworzonej na podstawie ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.