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Time Series Analysis: When “Good Enough” is Good Enough
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…
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May the Bot Be With You: How Algorithms are Supporting Happiness at WordPress.com
Charles Earl reports on Elfbot, a machine learning project geared to helping Happiness Engineers provide fast, efficient, wonderfully human support to WordPress.com users.
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This Week in Data Reading (and Watching!)
Two great reads and a YouTube channel await you in this installment of “This Week in Data Reading.”
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This Week in Data Reading
This week, Boris Gorelik shares his thoughts on a NYU study of “The Persuasive Power of Data Visualization.”
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This Week in Data Reading
This week, Boris, Demet, Charles, and Sirin offer pieces on data visualization, deep learning architecture, the “Dirtbag Left,” and an obituary for the late Hans Rosling, a man who “had a talent for using numbers to tell exciting stories” — largely about the world becoming a better place. Enjoy our recommendations below and remember to…
Data for Breakfast 