Join us for the upcoming webinar, Introduction to Machine Learning for Business Executives, led by Dr. Roy Lowrance, Managing Director of the NYU Center for Data Science (bio below) and hosted by the NYU Stern Master of Science in Business Analytics program.
WHEN: Thursday, December 10th, 2015 from 12pm – 1pm EST
- Learn how machine learning differs from typical computer programming
- Discuss the strategic impact on businesses of this new way of automating decisions and discovering relevant fact patterns
- Receive examples of the most popular machine learning method with enough detail so that you can program it yourself
RSVP: Complete this registration form to confirm your attendance. Upon registering, you will be emailed instructions on how to acquire your personalized webinar log-in information.
QUESTIONS: Reach out to Megan Hallissy firstname.lastname@example.org with any inquiries.
Looking forward to having you join us on Thursday, December 10th!
DR. ROY LOWRANCE
Managing Director, NYU Center for Data Science
Dr. Lowrance has worked at the intersection of business strategy and technology strategy for almost 40 years. His career has been divided among strategy development at consulting companies, leading information technology organizations, and academia.
As a management consult, he worked at McKinsey and Company where he focused on strategy development for technology-intensive businesses in financial services companies. He was then a partner at the Boston Consulting Group, where he was a leader in improving the effectiveness of client information technology organizations.
In information technology organizations, he was CTO at Capital One and Reuters. At Capital One, he introduced new technologies and improved the effectiveness of the technology supporting credit risk management. At Reuters, he helped to align network technology with the emerging future needs of customers and improved the management of the data centers.
He has a B.A. cum laude in Mathematics from Vanderbilt University, an M.B.A. with high distinction from the Harvard Business School, and a Ph.D. in machine learning from NYU’s Courant Institute of Mathematical Sciences.