You work at a toy manufacturer that assembles action figures aimed at young children. Due to manufacturing faults, unsafe parts regularly need to be removed from the assembly line. How can machine learning scale the business intelligence needed in this quality control situation?

Practice More Questions From: Defining ML as a practice

Q:

You lead a team of researchers within a bioinformatics organization that aims to automatically annotate the functions of proteins. You can add this output data to your existing knowledge database, which contains information about other protein annotations. What type of machine learning use case is this?

Q:

You own a model trained to predict life expectancy that was trained on data collected from Norwegians. This model is successful in the Norwegian region; however, when used in nearby Lithuania, performance declines considerably. What is most likely the source of this issue?

Q:

You work at a toy manufacturer that assembles action figures aimed at young children. Due to manufacturing faults, unsafe parts regularly need to be removed from the assembly line. How can machine learning scale the business intelligence needed in this quality control situation?

Q:

At a national energy provider company, the data analytics team has been suggesting long-term energy pricing based on customer usage reports from each region. You are the new manager of the data analytics team and want to introduce machine learning into the analytics process for repeatability and scalability. What effect can predictive insights using machine learning have on energy pricing in this use case?

Q:

Machine learning has existed since the 1970s. However, there has been a surge in usage across all industries only recently. As a manager, why might you choose to introduce machine learning processes into your business now? Choose TWO answers.

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