When a data scientist is writing advanced predictive analytics or machine learning (ML) algorithms, it is important to visualize the outputs to monitor results and make sure that models are performing as planned. Visualization helps in understanding model behavior, diagnosing issues, and communicating insights effectively.
Data Tools Quick Check 4 of 54 of 5 Items Question When a data scientist is writing advanced predictive analytics or machine learning (ML) algorithms, why is it important to visualize the outputs?(1 point) Responses to monitor results and make sure that models are performing as planned to monitor results and make sure that models are performing as planned to make the meeting more interesting to make the meeting more interesting to replace complex interpretations of numerical outputs to replace complex interpretations of numerical outputs to offer alternative views, enhancing trust to offer alternative views, enhancing trust Skip to navigation page 14 of 14
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