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What is a class of machine learning problems where the algorithm builds a mathematical model from a set of data that contains both the inputs and the desired outputs?
When should median value be used instead of mean value for imputing missing data?
What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark? (Choose three.)
What is used to scale large positive values during data cleaning?
With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?
What is the goal of the backpropagation algorithm?
A data scientist is exploring transaction data from a chain of stores with several locations. The data includes store number, date of sale, and purchase amount.
If the data scientist wants to compare total monthly sales between stores, which two options would be good ways to aggregate the data? (Choose two.)
Which test is applied to determine the relationship between two categorical variables?
What are two methods used to detect outliers in structured data? (Choose two.)
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?
In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?
Which one is the most appropriate use case for artificial intelligence (AI)?
Which is a technique that automates the handling of categorical variables?
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