Managing Machine Learning Projects with Google Cloud

 Quiz: Identifying business value for using ML

1. You work for a graphic design software company that offers a 7-day trial of your products to potential paying customers. You analyze why users convert their free trial into a software purchase. You are curious whether machine learning can predict which customers will convert their trial into a purchase and which users might need additional persuasion. Assess the following use case against a two-factor grid:“How could we use machine learning to predict whether a trial user will convert to a paid purchase after using the software’s unique color editing tools?

Answer: This use case is clear and challenging.

2. Which phase of a machine learning project occurs before collecting and preparing data?

Answer: Assess whether a problem is right for machine learning.

3.  You own a new local private transport service and want to use machine learning to adjust the pricing of your service throughout the day instead of using a fixed-pricing approach that does not change automatically. What data would a machine learning model need in order to predict when to adjust transport pricing?

Answer: The time of day and customer demand

4.  Which description best defines machine learning?

Answer: Machine learning refers to a branch of AI and one way to solve a problem autonomously.

5.  A franchise movie-rental store has decided to launch their own streaming rental service to expand their presence in the online market. The stores are well known for their in-depth and personalized recommendations by the store clerks. The CEO wants the new rental streaming service to also provide relevant recommendations for its customers. What data should be collected and used to provide the most accurate customer recommendations in an online film and movie streaming service?

Answer:  A customer’s genre preferences and previous purchases

Quiz: Defining ML as a practice

1. 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?

Answer:  Data coverage

2. 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?

Answer:  This is a classification use case.

3. 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.

Answers:  

• Machine learning algorithms are becoming more sophisticated and mature.
• The compute resources required for machine learning are more accessible.

4. 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?

Answer:  Machine learning can determine and adjust pricing in different regions instantly.

5. "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?"

Answer:  Machine learning makes repeated decisions on which parts to remove.