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Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?
Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?A . Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.B . Do not apply any data transformation or feature extraction or feature engineering steps.C . Leverage only...
In this sample, how many cases are false positives and false negatives?
A new test to diagnose a disease is evaluated on 1152 people, and 106 people have the disease, and 1046 people do not have the disease. The test results are summarized below: In this sample, how many cases are false positives and false negatives?A . 33 false positives and 81...
What is the value of P?
Given the following matrix multiplication: What is the value of P?A . C9B . 17C . 12D . C7View AnswerAnswer: C Explanation: Reference: https://www.mathsisfun.com/algebra/matrix-multiplying.html
What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?
What is the technique called for vectorizing text data which matches the words in different sentences to determine if the sentences are similar?A . Cup of VectorsB . Box of LexiconC . Sack of SentencesD . Bag of WordsView AnswerAnswer: D Explanation: Reference: https://medium.com/@adriensieg/text-similarities-da019229c894
When should median value be used instead of mean value for imputing missing data?
When should median value be used instead of mean value for imputing missing data?A . for skewed dataB . for real numbersC . for normally distributed dataD . for large data setsView AnswerAnswer: D
Which statement is true in the context of evaluating metrics for machine learning algorithms?
Which statement is true in the context of evaluating metrics for machine learning algorithms?A . A random classifier has AUC (the area under ROC curve) of 0.5B . Using only one evaluation metric is sufficientC . The F-score is always equal to precisionD . Recall of 1 (100%) is always...
What is the recall for this example?
The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example?A . 0.2B . 0.25C . 0.5D . 0.33View AnswerAnswer: B Explanation: Reference: https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/
What statement is true about UTF-8?
What statement is true about UTF-8?A . It is encoding for Latin script.B . It is rarely used today.C . It is encoding for Unicode characters.D . It is equal to ASCIView AnswerAnswer: C Explanation: Reference: https://www.w3.org/International/questions/qa-what-is-encoding
Which two statements are correct about deploying machine learning models? (Choose two.)
Which two statements are correct about deploying machine learning models? (Choose two.)A . It allows integration within business applications.B . It makes it possible to create reports for management dynamically using specific parameters from executives.C . It is critical for achieving high accuracy in training.D . It is a necessary...
What is the most likely reason for this problem?
After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file. What is the most likely reason for this problem?A . CSV files cannot be used as data...
