Big Data, Machine Learning, and Artificial Intelligence (AI) are at the head of the most disruptive technological revolution affecting today’s businesses and organizations. Is this just a fad, or something companies should pay close attention to?
This course provides a gentle, non-technical, highly interactive and engaging introduction to help kick-start professionals in their understanding of these topics.
Why you should attend
- Gain a firm understanding of the basics and then learn the advantages and limitations of applying Machine Learning and AI in practice.
- Learn how to identify and extract undervalued Big Data opportunities within their businesses and organizations.
- Discover how to properly construct a prudent strategy to leverage Big Data by utilizing Machine Learning and AI algorithms.
- Become conversant on the topics of Big Data, Machine Learning and AI.
Courses are held at the Johns Hopkins Carey Business School Harbor East campus, located at 100 International Drive, Baltimore, MD 21202.
Check-in and breakfast for this course is from 8:30-9:00am each day. The seminar begins promptly at 9:00am and ends at 4:00pm.
The registration deadline is one week prior to the first day of class.
This seminar serves professional at all career levels who are curious to survey the newest technological advancements across the Big Data, Machine Learning and AI spectrum with a practical and applied focus.
Jim Kyung-Soo Liew, PhD
Assistant Professor, Johns Hopkins Carey Business School
Jim Kyung-Soo Liew, PhD is an Assistant Professor of Finance at Johns Hopkins Carey Business School and revels in pushing the boundaries of financial knowledge both as an academic and FinTech Data Scientist. He has published pioneering research in the intersection of social media big data and financial markets. He currently teaches "Big Data Machine Learning," "Advanced Hedge Fund Strategies," and "Leading Entrepreneurship and Innovation" at the Johns Hopkins Carey Business School.
Additionally, Liew serves as the Chairman of the Johns Hopkins Innovation Factory and has received the Dean’s Award for Faculty Excellence in 2015 & 2016. He also serves on the Editorial Board of Journal of Portfolio Management and co-authored the most read Invited Editorial, "iGDP?".
$3200 for the 2-day seminar. This fee includes materials, gourmet breakfast and lunch and on-site garage parking.
JHU employees can submit for tuition remission for the entire cost of the course.
JHHS employees receive a 20% discount on all seminars.
Program Dates: October 30-31, 2017 Register now.
To cancel or transfer your registration, please write to firstname.lastname@example.org. Registrants who do not cancel and do not attend the program will not receive a refund.
JHU employees should refer to the Non-credit Courses section of the Tuition Remission policies (available on the JHU Benefits page) regarding cancellation policies. Registrants not employed by JHU must notify the Office of Executive Education of cancellation at least two weeks prior to the program in order to receive a full refund.