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This week, Sirin, Boris, and Demet have some recommended reading for you in the fields of descriptive data analysis, machine learning, and artificial intelligence.
Anomaly detection and time series forecasting are valuable in monitoring the financial and technical health of an organization. Proper modeling of time series requires accounting for periodic fluctuation; malicious users; data irregularity, saturation or scarcity; sudden peaks and drops. To account for these parameters, the modeler needs to select the proper model family, optimize the…
In this week in data reading, Demet offers up some digital anthropology over at FiveThirtyEight while Charles shares two papers he enjoyed in the field of natural language processing, and Carly offers a piece on back propagation.
Talking with friends last week, many of us sheepishly admitted that we have already “broken” our 2017 resolutions. According to a popularly cited study by Norcross in 2002, only 64% […]
There’s nothing tastier than a set of links to devour! Check out what we’ve been reading recently and be sure to share your links to thought-provoking articles and discussions on topics in the field of data science.