Machine Learning Times
Machine Learning Times
EXCLUSIVE HIGHLIGHTS
How Machine Learning Works for Social Good
  Originally published in KDnuggets, Nov 2020. This article...
Diversity and Collaborative Problem Solving to Address Wicked Data Ethics Problems
 The complexity of the ethical issues facing professionals who...
Climate Tech Needs Machine Learning, Says PAW Climate Conference Chair
  Straight from the horse’s mouth – the founding...
Predictive Policing: Six Ethical Predicaments
  Originally published in KDNuggets. This article is based...
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5 years ago
Wise Practitioner – Text Analytics Interview Series: Emrah Budur at Garanti Technology

 In anticipation of his upcoming conference presentation, Tips and Tricks on Developing High-performance Fuzzy Name Search Engine to Prevent Terrorism Financing at Text Analytics World Chicago, June 21-22, 2016, we asked Emrah Budur, Senior Software Engineer at Garanti Technology, a few questions about his work in text analytics. Q: What is your topic mainly about? A: Financial institutions and US businesses working with partners overseas must follow strict government regulations to prevent them from doing business with terrorist organizations or other sanctioned entities. In particular, banks are required to precisely detect inappropriate transactions with sanctioned entities out of large

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