Amazon (MLS-C01) Exam Questions And Answers page 20
During mini-batch training of a neural network for a classification problem, a Data Scientist notices that training accuracy oscillates.
What is the MOST likely cause of this issue?
What is the MOST likely cause of this issue?
Dataset shuffling is disabled.
The batch size is too big.
The learning rate is very high.
Data Engineering
Model Development
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?
The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20.85%
The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is 13.12%
The true class frequency for Romance is 0.78 and the predicted class frequency for Adventure is (0.47-0.32)
The true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is 20.85%*0.32
Exploratory Data Analysis
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?
The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20.85%
The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is 13.12%
The true class frequency for Romance is 0.78 and the predicted class frequency for Adventure is (0.47-0.32)
The true class frequency for Romance is 77.56% 0.78 and the predicted class frequency for Adventure is 20.85% 0.32
Exploratory Data Analysis
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?
The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20.85%
The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is 13.12%
The true class frequency for Romance is 0.78 and the predicted class frequency for Adventure is (0.47-0.32)
The true class frequency for Romance is 77.56% 0.78 and the predicted class frequency for Adventure is 20.85% 0.32
Exploratory Data Analysis
Given the following confusion matrix for a movie classification model, what is the true class frequency for Romance and the predicted class frequency for Adventure?
The true class frequency for Romance is 77.56% and the predicted class frequency for Adventure is 20.85%
The true class frequency for Romance is 57.92% and the predicted class frequency for Adventure is 13.12%
The true class frequency for Romance is 0.78 and the predicted class frequency for Adventure is (0.47-0.32)
The true class frequency for Romance is 77.56% * 0.78 and the predicted class frequency for Adventure is 20.85%*0.32
Exploratory Data Analysis
Machine Learning Specialist is building a model to predict future employment rates based on a wide range of economic factors. While exploring the data, the Specialist notices that the magnitude of the input features vary greatly. The Specialist does not want variables with a larger magnitude to dominate the model.
What should the Specialist do to prepare the data for model training?
What should the Specialist do to prepare the data for model training?
Apply quantile binning to group the data into categorical bins to keep any relationships in the data by replacing the magnitude with distribution.
Apply the Cartesian product transformation to create new combinations of fields that are independent of the magnitude.
Apply normalization to ensure each field will have a mean of 0 and a variance of 1 to remove any significant magnitude.
Apply the orthogonal sparse bigram (OSB) transformation to apply a fixed-size sliding window to generate new features of a similar magnitude.
Exploratory Data Analysis
Model Development
Machine Learning Specialist is working with a media company to perform classification on popular articles from the company's website. The company is using random forests to classify how popular an article will be before it is published. A sample of the data being used is below.
Given the dataset, the Specialist wants to convert the Day_Of_Week column to binary values.
What technique should be used to convert this column to binary values?
Given the dataset, the Specialist wants to convert the Day_Of_Week column to binary values.
What technique should be used to convert this column to binary values?
Binarization
One-hot encoding
Tokenization
Normalization transformation
Exploratory Data Analysis
Machine Learning Specialist is working with a media company to perform classification on popular articles from the company's website. The company is using random forests to classify how popular an article will be before it is published. A sample of the data being used is below.
Given the dataset, the Specialist wants to convert the Day_Of_Week column to binary values.
What technique should be used to convert this column to binary values?
Given the dataset, the Specialist wants to convert the Day_Of_Week column to binary values.
What technique should be used to convert this column to binary values?
Binarization
One-hot encoding
Tokenization
Normalization transformation
Exploratory Data Analysis
The chief editor for a product catalog wants the research and development team to build a machine learning system that can be used to detect whether or not individuals in a collection of images are wearing the company's retail brand. The team has a set of training data.
Which machine learning algorithm should the researchers use that BEST meets their requirements?
Which machine learning algorithm should the researchers use that BEST meets their requirements?
Latent Dirichlet Allocation (LDA)
Recurrent neural network (RNN)
K-means
Convolutional neural network (CNN)
Model Development
Machine Learning Implementation and Operations
The displayed graph is from a forecasting model for testing a time series.
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
Considering the graph only, which conclusion should a Machine Learning Specialist make about the behavior of the model?
The model predicts both the trend and the seasonality well
The model predicts the trend well, but not the seasonality.
The model predicts the seasonality well, but not the trend.
The model does not predict the trend or the seasonality well.
Model Development
Machine Learning Implementation and Operations
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