July 2017
Intermediate to advanced
378 pages
10h 44m
German
Content preview from Einführung in Machine Learning mit PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Index
A
A/B-Tests 344
Abmessung, Definition 16
Abschätzen von Unsicherheit 118
Klassifikation mehrerer Kategorien 118
Abstimmen 37
agglomeratives Clustering 169, 178, 189
Ähnlichkeitsmaße 170
Beispiel für 171
evaluieren und vergleichen 178
Funktionsweise von 169
hierarchisches Clustering 172
algorithm, Parameter 112
Algorithmen
siehe auch Modelle; Problemlösung auswerten 30
Beispieldatensätze 32
minimaler Code zum Anwenden 24
skalieren
MinMaxScaler 97, 127, 177, 212, 292, 303
Normalizer 126
RobustScaler 125
StandardScaler 108, 125, 130, 136, 142, 177, 298
überwacht, Klassifizierung
Entscheidungsbäume 68
Gradient Boosting 85, 113, 118
k-nächste-Nachbarn 36
lineare SVMs 56
logistische Regression 56
naive Bayes 66
neuronale Netze 99
Random Forests ...
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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.
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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.