July 2020
Intermediate to advanced
852 pages
25h 44m
German
book
Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
by Aurélien Géron
Content preview from Praxiseinstieg Machine Learning mit Scikit-Learn, Keras und TensorFlow, 2nd Edition
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Ein Regressions-MLP mit der Sequential API erstellen
Kehren wir zu den kalifornischen Immobilienpreisen zurück und gehen wir das Problem über ein Regressions-KNN an. Aus Gründen der Einfachheit werden wir die Scikit-Learn-Funktion fetch_california_housing() zum Laden der Daten nutzen. Dieser Datensatz ist einfacher als der in Kapitel 2 verwendete, da er nur numerische Merkmale enthält (es gibt kein Merkmal ocean_proximity), und es gibt keine fehlenden Werte. Nach dem Laden der Daten teilen wir sie in einen Trainings-, einen Validierungs- und einen Testdatensatz auf und skalieren alle Merkmale:
from sklearn.datasets import fetch_california_housing
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler ...
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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.