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1. Topic 1, Case Study 1 Overview You are a data scientist in a company that provides data science for professional sporting events. Models will be global and local market data to meet the following business goals: • Understand sentiment of mobile device users at sporting events based on audio from crowd reactions. • Access a user's tendency to respond to an advertisement. • Customize styles of ads served on mobile devices. • Use video to detect penalty events. Current environment Requirements • Media used for penalty event detection will be provided by consumer devices. Media may include images and videos captured during the sporting event and snared using social media. The images and videos will have varying sizes and formats. • The data available for model building comprises of seven years of sporting event media. The sporting event media includes: recorded videos, transcripts of radio commentary, and logs from related social media feeds feeds captured during the sporting events. • Crowd sentiment will include audio recordings submitted by event attendees in both mono and stereo Formats. Advertisements • Ad response models must be trained at the beginning of each event and applied during the sporting event. • Market segmentation nxxl
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