Apr 14, 2017
Sloan Develops Algorithm To Spot Likely ISIS Members on Twitter
MIT Sloan recently looked into how a Ph.D. candidate and 15-year Army veteran Christopher Marks, along with KDD Career Development Professor in Communications and Technology Tauhid Zaman, built a machine-learning model that identifies likely Islamic State of Iraq and Syria (ISIS) members on Twitter.
Oct 21, 2016
Harvard Business School Explains Virtues of Metrics in Hiring
Harvard Business School recently revealed findings on the use of machine learning as an “important decision aid for managers looking to make hiring and promotion decisions.”
