1. (5 points) Data Analytics (a) (2 points) A supermarket chain asks you to develop a system that would characterise types of shoppers. They have a record of past shopping transactions of shoppers, including the list of products bought in each shopping transaction, and the location. Answer the following questions 1. (1 mark) Is this an example of descriptive, diagnostic, predictive, or prescriptive an- 2. (1 mark) Given the data that the financial institution has, Would you apply supervised (b) (3 points) Explain the concepts of data, information, knowledge, wisdom. Pay attention (c) (3 points) Explain the three main steps in a supervised learning process: feature extrac- (d) (2 points) Explain the difference between numeric and categorical data, and how it affects (e) (2 points) In 3 to 5 sentences, explain the role of a Graphics Processing Unit (GPU) to alytics? Justify your answer. machine learning or unsupervised machine learning? Justify your answer. to describe the distinguishing characteristics of each. tion, training, classification. Describe each step in two or three sentences whether we need to apply classification or regression techniques. help applying machine learning on data. 1. (5 points) Data Analytics (a) (2 points) A supermarket chain asks you to develop a system that would characterise types of shoppers. They have a record of past shopping transactions of shoppers, including the list of products bought in each shopping transaction, and the location. Answer the following questions 1. (1 mark) Is this an example of descriptive, diagnostic, predictive, or prescriptive an- 2. (1 mark) Given the data that the financial institution has, Would you apply supervised (b) (3 points) Explain the concepts of data, information, knowledge, wisdom. Pay attention (c) (3 points) Explain the three main steps in a supervised learning process: feature extrac- (d) (2 points) Explain the difference between numeric and categorical data, and how it affects (e) (2 points) In 3 to 5 sentences, explain the role of a Graphics Processing Unit (GPU) to alytics? Justify your answer. machine learning or unsupervised machine learning? Justify your answer. to describe the distinguishing characteristics of each. tion, training, classification. Describe each step in two or three sentences whether we need to apply classification or regression techniques. help applying machine learning on data