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Converting a neural network into the newest version of TensorFlow or another deep-learning package is what type of performance drift or software decay?
Converting a neural network into the newest version of TensorFlow or another deep-learning package is what type of performance drift or software decay?A . Data changesB . Concept driftC . Software changesD . Sampling bias and selection bias changesView AnswerAnswer: C
What are effective strategies for handling missing data? (Choose Two)
What are effective strategies for handling missing data? (Choose Two)A . Deleting all rows with any missing valuesB . Imputing missing values using statistical methodsC . Using a machine learning model to predict missing valuesD . Ignoring missing data during analysisView AnswerAnswer: BC
In the context of anomaly detection, what is the algorithm primarily searching for?
In the context of anomaly detection, what is the algorithm primarily searching for?A . Patterns that do not conform to expected behaviorB . The best way to group similar data pointsC . The optimal number of clusters in the dataD . The strongest predictors of a target variableView AnswerAnswer: A
Which type of plot would best illustrate the distribution of a single continuous variable?
Which type of plot would best illustrate the distribution of a single continuous variable?A . Line plotB . Bar chartC . HistogramD . ScatterplotView AnswerAnswer: C
In the context of classification, what does the term 'overfitting' refer to?
In the context of classification, what does the term 'overfitting' refer to?A . The model performs equally well on the training and test datasetsB . The model performs poorly on both training and test datasetsC . The model performs too well on the training dataset but poorly on unseen dataD...
Which feature engineering technique can be used to simplify models and improve interpretability?
Which feature engineering technique can be used to simplify models and improve interpretability?A . One-hot encoding categorical variablesB . Normalizing continuous variablesC . Removing correlated featuresD . Increasing the number of featuresView AnswerAnswer: C
Which approach is recommended for prioritizing business opportunities when planning an MVP?
Which approach is recommended for prioritizing business opportunities when planning an MVP?A . Choosing the most straightforward implementation irrespective of impactB . Assessing the potential return on investment and strategic fitC . Prioritizing based on the preference of the project managerD . Focusing solely on technological innovationView AnswerAnswer: B
If the goal is to explore the central tendency and variability of a dataset, which types of plots would be most informative?
If the goal is to explore the central tendency and variability of a dataset, which types of plots would be most informative?A . Bar chart and line plotB . Histogram and box plotC . Scatterplot and heatmapD . Pie chart and line plotView AnswerAnswer: B
If each image has a 5x5 pixel dimension, what is the the number of weights required (excluding biases) for this model?
A Logistic Regression algorithm is used to classify images into four categories. If each image has a 5x5 pixel dimension, what is the the number of weights required (excluding biases) for this model?A . 200B . 100C . 300D . 400View AnswerAnswer: B
Principal Component Analysis (PCA) is a common technique for which of the following?
Principal Component Analysis (PCA) is a common technique for which of the following?A . RegressionB . ClassificationC . ClusteringD . Dimensional reductionView AnswerAnswer: D
