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NEW QUESTION: 1
Szenario
Auszug aus der Projektproduktbeschreibung (mit Fehlern)

Welche 2 Aussagen gelten für den Bereich Qualitätserwartungen des Kunden?
A. Löschen Sie Eintrag 16, da dies in der Produktbeschreibung für die Fotos angezeigt werden sollte.
B. Löschen Sie Eintrag 19, da dieser in der Produktbeschreibung für den Kalender und nicht in der Projektproduktbeschreibung angezeigt werden soll.
C. Löschen Sie Eintrag 17, da dies den Rahmen dieses Projekts sprengt.
D. Löschen Sie Eintrag 18, da hier keine Standards angezeigt werden sollten.
E. Löschen Sie Eintrag 20, da dies ein erwarteter Vorteil ist und im Business Case erfasst werden sollte.
Answer: C,E

NEW QUESTION: 2
You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter, training error, and validation errors.

Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.

Answer:
Explanation:

Explanation:
Box 1: 4
Choose the one which has lower training and validation error and also the closest match.
Minimize variance (difference between validation error and train error).
Box 2: 5
Minimize variance (difference between validation error and train error).
Reference:
https://medium.com/comet-ml/organizing-machine-learning-projects-project-management-guidelines-2d2b85651bbd

NEW QUESTION: 3

A. Option D
B. Option C
C. Option A
D. Option B
Answer: B