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GMLE Free Practice Exams, GMLE Simulations Pdf

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GIAC Machine Learning Engineer Sample Questions (Q112-Q117):

NEW QUESTION # 112
Which techniques are commonly used to optimize neural networks during training?
(Choose two)
Response:

A. Adam optimizer
B. Softmax activation function
C. Stochastic Gradient Descent
D. Data augmentation

Answer: A,C

NEW QUESTION # 113
Which of the following are advantages of using Support Vector Machines (SVM) for classification tasks?
(Choose two )
Response:

A. Works well when there is a clear margin of separation between classes
B. Is highly interpretable and easy to visualize
C. Effective in high-dimensional spaces
D. Performs well with large amounts of missing data

Answer: A,C

NEW QUESTION # 114
What is the primary function of NumPy in machine learning workflows?
Response:

A. Providing support for large multi-dimensional arrays and matrices
B. Web scraping
C. Building deep learning models
D. Handling data visualizations

Answer: A

NEW QUESTION # 115
Which metric is commonly used to evaluate the performance of a classification model?
Response:

A. R-squared
B. Mean Absolute Error (MAE)
C. Accuracy
D. Root Mean Squared Error (RMSE)

Answer: C

NEW QUESTION # 116
In machine learning, what is a 'Support Vector Machine' (SVM) primarily used for?
Response:

A. Classification and regression tasks
B. Clustering and grouping similar data points
C. Dimensionality reduction and feature extraction
D. Time-series forecasting and sequence prediction

Answer: A

NEW QUESTION # 117
......

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Keith Shaw Keith Shaw

Biography

GMLE Free Practice Exams, GMLE Simulations Pdf

GIAC GMLE Simulations Pdf, GMLE Free Dump Download

GIAC Machine Learning Engineer Sample Questions (Q112-Q117):

Selecting GMLE Free Practice Exams - Get Rid Of GIAC Machine Learning Engineer

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Keith Shaw Keith Shaw

Biography

GMLE Free Practice Exams, GMLE Simulations Pdf

GIAC GMLE Simulations Pdf, GMLE Free Dump Download

GIAC Machine Learning Engineer Sample Questions (Q112-Q117):

Selecting GMLE Free Practice Exams - Get Rid Of GIAC Machine Learning Engineer

Quick Links

Resources

Support

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