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 offer alternative views, enhancing trust to offer alternative views, enhancing trust to replace complex interpretations of numerical outputs

Answer 1

The correct answer is: to monitor results and make sure that models are performing as planned.

Visualizing the outputs of predictive analytics or machine learning algorithms is crucial for understanding model performance, detecting anomalies, and ensuring that the model is making accurate predictions as intended. Additionally, it helps in communicating results effectively to stakeholders.

Answer 2

How does data visualization aid in identifying patterns or trends within a complex data set?(1 point) Responses by explaining the changes and describe the implications of the data by explaining the changes and describe the implications of the data by contributing to advanced analytics of the data by contributing to advanced analytics of the data by showing the minutiae and details of the data by showing the minutiae and details of the data by reducing insignificant data and emphasizing the most important points

Answer 3

The correct answer is: by explaining the changes and describe the implications of the data.

Data visualization simplifies complex data sets by highlighting patterns, trends, and changes, allowing for better interpretation of the data and understanding of its implications. This helps stakeholders make informed decisions based on the visual insights presented.