By Mike Barlow

Till lately, many folks proposal gigantic info used to be a passing fad. "Data science" was once an enigmatic time period. at the present time, tremendous info is taken heavily, and information technological know-how is taken into account downright attractive. With this anthology of stories from award-winning journalist Mike Barlow, you are going to savour how information technology is essentially changing our international, for larger and for worse. Barlow paints an image of the rising information house in large strokes. From new options and instruments to using info for social solid, you will discover out how a ways facts technological know-how reaches.

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Extra info for Learning to Love Data Science: Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization

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Cutting-edge processes such as 3D printing and addi‐ tive manufacturing make it possible to refine and improve products ad infinitum, based on user feedback and data sent back to the man‐ ufacturing floor by sensors embedded in the products. Jordan Husney is strategy director for Undercurrent, a digital strat‐ egy firm and think tank. His interests include “extending the digital nervous system to distant physical objects,” and he provides advi‐ sory services for several Fortune 100 companies. From his perspec‐ tive, the challenge is rapidly scaling systems to meet unexpected levels of demand.

For many of us, it’s an alluring narrative, perhaps because it sup‐ ports our hope that deep down, data scientists and statisticians are nice people who value social good over crass materialism. Megan Price, for example, is director of research at the Human Rights Data Analysis Group. She designs strategies and methods for using data to support human rights projects in strife-torn countries like Guatemala, Colombia, and Syria. “I’ve always been interested in both statistics and social justice,” Price says.

5 without meeting all individual criteria. 5 were evaluated for the following three criteria: 1) consistent with foodborne illness occur‐ ring after a meal, rather than an alternative explanation for the ill‐ ness keyword; 2) meal date within 4 weeks of review (or no meal date provided); 3) two or more persons ill or a single person with symptoms of scombroid poisoning or severe neurologic illness. Reviews that met all three of these criteria were then investigated further by DOHMH. In addition, reviews were investigated further if manual checking identified multiple reviews within 1 week that described recent foodborne illness at the same restaurant.

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