FEATURES THAT MAKE DUMPEXAM'S GIAC GMLE QUESTIONS TOP CHOICE FOR EXAM PREPARATION

Features that Make DumpExam's GIAC GMLE Questions Top Choice for Exam Preparation

Features that Make DumpExam's GIAC GMLE Questions Top Choice for Exam Preparation

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Tags: GMLE Passguide, Premium GMLE Exam, GMLE Latest Braindumps, Certification GMLE Training, Exam GMLE Format

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GIAC Machine Learning Engineer Sample Questions (Q152-Q157):

NEW QUESTION # 152
What is the Fourier Series used for in data science?
Response:

  • A. To calculate the mean of the dataset
  • B. To break down periodic functions into sums of sine and cosine terms
  • C. To determine the probability of an event
  • D. To generate random numbers for a model

Answer: B


NEW QUESTION # 153
In a regression model, the mean squared error (MSE) loss function measures:
Response:

  • A. The total sum of squared residuals
  • B. The proportion of variance explained by the model
  • C. The average of absolute errors
  • D. The average of the squares of the differences between actual and predicted values

Answer: D


NEW QUESTION # 154
In machine learning, what is 'dimensionality reduction' used for?
Response:

  • A. To improve the model's accuracy on training data
  • B. To increase the computational speed of model training
  • C. To reduce the number of input variables, simplifying the model
  • D. To enhance the feature importance analysis

Answer: C


NEW QUESTION # 155
Which of the following is a supervised learning algorithm commonly used for classification tasks?
Response:

  • A. k-means
  • B. Principal Component Analysis (PCA)
  • C. Support Vector Machines (SVM )
  • D. Agglomerative clustering

Answer: C


NEW QUESTION # 156
Which of the following best describes linear regression?
Response:

  • A. A clustering algorithm
  • B. A neural network technique
  • C. A technique for predicting a continuous target variable based on input features
  • D. A method for classifying data into categories

Answer: C


NEW QUESTION # 157
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