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The CyberSquad ordered too many Cryoxide cans for the shop, and they try to understand where they went wrong. After they obtain historical sales data, they identify patterns in the data and predict the number of cans that they need to order each day of the week to prevent having a surplus.
Slider finds Cyroxide receipts for the month of July from the previous year, and the CyberSquad writes down on a calendar how many Cyroxide cans were sold on each day. Excluding an outlier, a holiday, they find a pattern for each week: an average of 30 cans are sold on weekdays, and an average of 60 cans are sold on weekends. They use the pattern they've identified to accurately place an order for the next six days of business.
Describes how Netflix leverages big data to alter recommendations and the preview images that appear for content.
Provides real life examples of how biased algorithms in big data can have serious effects; for example, how the "Compas" algorithm is used by courts to determine recidivism rates despite the possibility that the algorithm is racially discriminatory.
Gives an example of using a neural network to predict one's salary based on a number of different characteristics and by using an activation function.