Use the data you have to define a new evaluation metric (using a new dev/test set) taking into account the new species, and use that to drive further progress for your team. (Check the two best options.). Every company has many formal and informal rules, based on assumptions about technology, people, and organizational goals, that no longer hold. Which of the following options represents the accurate spans of control for each of these supervisors? It is now read-only. Which of the following accurately describes a way that Baroque composers exhibited the pervasive cultural interest in human passions? Which of the following statements is true? Remain flexible when it comes to working with outsourcing providers in terms of accommodating requests or adjusting needs when necessary in an effort to build a long-term strategic partnership beneficial to both parties. This is a statistical anomaly (or must be the result of statistical noise) since it should not be possible to surpass human-level performance. Additional Note: there are subtle concepts to consider with this question, and you may find arguments for why some answers are also correct or incorrect. It turns out Peacetopia has hired one of your competitors to build a system as well. A learning algorithms performance can never be better than human-level performance but it can be better than Bayes error. After working on this project for a year, you finally achieve: What can you conclude? The goal is to recognize which of these objects appear in each image. Nam risus ante, dapibu,
or nec facilisis. 897 0 obj <> endobj You should not correct the incorrectly labeled data in the test set, so that the dev and test sets continue to come from the same distribution. She hopes you can help her out using transfer learning. Your algorithm overfits the dev set because the error of the dev and test sets are very close. Which of the following was an effect of the Industrial Revolution? Before implementing your algorithm, you need to split your data into train/dev/test sets. It was concerned exclusively with creating an ethnocentric work environment.