Artificial Intelligence Questions
Explore questions in the Artificial Intelligence category that you can ask Spark.E!
A retailer wants to group together online shoppers that have similar attributes to enable its marketing team to create targeted marketing campaigns for new product launches.Which type of machine learning is this?
A company is using machine learning to predict various aspects of its e-scooter hire service dependent on weather. This includes predicting the number of hires, the average distance traveled, and the impact on e-scooter battery levels.For the machine learning model, which two attributes are the features? Each correct answer presents a complete solution.
A company is using machine learning to predict house prices based on appropriate house attributes.For the machine learning model, which attribute is the label?
You train a regression model by using automated machine learning (automated ML) in the Azure Machine Learning studio. You review the best model summary.You need to publish the model for others to use from the internet.What should you do next?
Which type of machine learning algorithm assigns items to a set of predefined categories?
In a regression machine learning algorithm, what are the characteristics of features and labels in a training dataset?
Which type of machine learning algorithm finds the optimal way to split a dataset into groups without relying on training and validating label predictions?
Which two artificial intelligence (AI) workload features are part of the Azure AI Vision service? Each correct answer presents a complete solution.- entity recognition- key phrase extraction- optical character recognition (OCR)- sentiment analysis- spatial analysis
In a regression machine learning algorithm, how are features and labels handled in a validation dataset?1. Features are compared to the feature values in a training dataset.2. Features are used to generate predictions for the label, which is compared to the actual label values.This answer is correct.3. Labels are compared to the label values in a training dataset.4. The label is used to generate predictions for features, which are compared to the actual feature values.
Which principle of responsible artificial intelligence (AI) involves evaluating and mitigating the bias introduced by the features of a model?Select only one answer.
What functional area of CeTARS is where Course Identification Numbers (CIN), Student and other pertinent course data (ie Course Data Processing (CDP), Planned Active (PA), etc..., a Learning Center has can be found.
In CANTRAC, what functionality portion of CeTARS is where course data is initially input and updated, this data is automatically updated in CANTRAC?