February 2022
Intermediate to advanced
360 pages
11h 47m
Polish
Content preview from Spark
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Rozdział 11. Stosowanie Apache Spark do wdrażania potoków uczenia maszynowego oraz ich skalowania i zarządzania nimi
W poprzednim rozdziale wyjaśniliśmy, jak za pomocą biblioteki MLlib tworzyć potoki uczenia maszynowego. Natomiast w niniejszym skoncentrujemy się na tym, jak wdrażać wytrenowane modele i nimi zarządzać. Dzięki lekturze tego rozdziału nauczysz się używać biblioteki MLlib do śledzenia, odtwarzania i wdrażania modeli MLlib, poznasz wady i zalety różnych wdrożeń modeli, a także zobaczysz, jak tworzyć skalowalne rozwiązania w zakresie uczenia maszynowego. Jednak zanim przejdziemy do wdrażania modeli, omówimy wybrane najlepsze praktyki w zakresie zarządzania modelami.
Zarządzanie modelem
Zanim wdrożysz model uczenia maszynowego, musisz ...
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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.