## Which is a preferred approach for simplifying the data transformation steps in machine learning model manageme

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 deep learning algorithms. D. Apply […]

## Determine the number of bigrams and trigrams in the sentence.

Determine the number of bigrams and trigrams in the sentence. “Data is the new oil”. A. 3 bigrams, 3 trigrams B. 4 bigrams, 4 trigrams C. 3 bigrams, 4 trigrams D. 4 bigrams, 3 trigrams

## After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, i

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 sources in Watson Studio. B. […]

## The formula for recall is given by (True Positives) / (True Positives + False Negatives).

The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example? A. 0.2 B. 0.25 C. 0.5 D. 0.33 Reference: https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/

## A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, foll

A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2). Which two explicit functions are implemented by this neural network? (Choose two.) A. y = affine1(ReLU(affine2(x))) B. y = max(affine1(x), affine2(x)) C. y = affine2(ReLU(affine1(x))) D. y = affine2(max(affine1(x), 0)) E. y […]

## Given the following matrix multiplication:

Given the following matrix multiplication: What is the value of P? A. –9 B. 17 C. 12 D. –7 Reference: https://www.mathsisfun.com/algebra/matrix-multiplying.html

## 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 data B. for real numbers C. for normally distributed data D. for large data sets

## 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 0.5 B. Using only one evaluation metric is sufficient C. The F-score is always equal to precision D. Recall of 1 (100%) is always a good result

## What is the technique called for vectorizing text data which matches the words in different sentences to deter

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 Vectors B. Box of Lexicon C. Sack of Sentences D. Bag of Words Reference: https://medium.com/@adriensieg/text-similarities-da019229c894

## With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts a

With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections? A. prescriptive analytics B. cognitive analytics C. predictive analytics D. descriptive analytics Reference: https://www.investopedia.com/terms/p/prescriptive-analytics.asp