GIAC GMLE Prüfungsthemen:
| Abschnitt | Ziele |
|---|---|
| Grundlagen des maschinellen Lernens | - Kernkonzepte des maschinellen Lernens
|
| Weiterführende Themen | - Grundlagen des tiefen Lernens
|
| Datenaufbereitung und Merkmalskonstruktion | - Datenvorverarbeitung
|
| Technik und Einsatz des maschinellen Lernens | - Arbeitsabläufe im maschinellen Lernen
|
| Modelle des maschinellen Lernens | - Modelle des überwachten Lernens
|
| Modellbewertung und Optimierung | - Bewertungsmetriken
|
GIAC Machine Learning Engineer GMLE Prüfungsfragen mit Lösungen
Frage #1
What is the main use of the 'sigmoid' activation function in neural networks?
Response:
A. To speed up the training process
B. To transform the output into a probability
C. To normalize the input data
D. To introduce non-linearity into the model
Frage #2
What is the Fourier Series used for in data science?
Response:
A. To generate random numbers for a model
B. To determine the probability of an event
C. To calculate the mean of the dataset
D. To break down periodic functions into sums of sine and cosine terms
Frage #3
What does the term 'epoch' refer to in the context of training a deep learning model?
Response:
A. The process of tuning hyperparameters
B. The initial phase of model training
C. A single iteration over the entire dataset
D. The final phase of model training
Frage #4
In CNNs, what is the purpose of pooling layers?
Response:
A. To reduce the spatial size of the representation
B. To increase the network's sensitivity to noise
C. To directly classify images
D. To increase the depth of the network
Frage #5
What is the primary use of 'k-fold cross-validation' in machine learning?
Response:
A. To select the most important features of the dataset
B. To assess the model's performance on different subsets of the data
C. To optimize the hyperparameters of the model
D. To increase the size of the training dataset
Fragen und Antworten:
| Frage #1 Antwort: D | Frage #2 Antwort: D | Frage #3 Antwort: C | Frage #4 Antwort: A | Frage #5 Antwort: B |
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