November 2021
Intermediate to advanced
432 pages
13h 22m
German
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Fußnoten
KAPITEL 1 Der Bedarf an Entwurfsmustern für maschinelles Lernen
1ETL – Extraktion, Transformation, Laden; ein Prozess, um Daten, die aus mehreren Quellen stammen können, in einer Zieldatenbank zusammenzufassen (Anm. d. Übers.).
2Garbage In, Garbage Out: Ungültige Eingaben liefern ungültige Ausgaben (wörtlich: »Müll rein, Müll raus«).
KAPITEL 2 Entwurfsmuster für die Datendarstellung
1Hier besteht die gelernte Datendarstellung aus babyweight als Eingabevariable, dem Operator kleiner als (<) und dem Schwellenwert 3 kg.
2Bei Zwillingen ist die Pluralität 2, bei Drillingen 3.
3Von engl. Term frequency (Vorkommenshäufigkeit) und inverse document frequency (inverse Dokumenthäufigkeit).
4Dieser Datensatz ist in BigQuery verfügbar: bigquery-public-data.samples.natality ...
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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.