Workshop
PLEASE NOTE WORKSHOPS WILL TAKE PLACE AT NYC EVENT SPACE, 4 West 43rd Street, New York NY 10036Wednesday, November 1, 2017 in New York
Full-day: 8:00am - 3:45pm
The Best and the Worst of Predictive Analytics: Machine Learning Methods and Common Data Science Mistakes
A free copy of John Elder's ebook Handbook of Statistical Analysis and Data Mining Applications is included.
Intended Audience: Interested in the true nuts and bolts
Knowledge Level: Familiar with the basics of predictive modeling (machine learning).
More statements of testimony:
"I can't remember when I walked away from a one-day training course so filled with insights and new ideas. Thank you for your real work experiences and great examples about analytics and modeling for decision making. Because of your training on modeling techniques, you helped me rethink my approach to data mining and predictive analytics. You were generous with your time and with the Q&A. I would like to learn more than just the basics you covered, but what I did learn gave me a foundation for better management techniques and using data analytics."
– Manager Data Analytics, US Postal Service Office of Inspector General
"Best workshop I had attended in a long time. Business perspective is a big advantage of the workshop."
– Mandres Uribe-Sanchez, Liberty Mutual Insurance
"In depth knowledge of methods. Well structured presentation slides. Broad practice knowledge and advice. Presented in fun and humor."
– Ling Zhang, Comcast
"You don't know what you don't know ... after this course, I now know what I don't know and what I should develop greater understanding in for both myself, my company and our clients"
– Sean Liddle, Deloitte
"Some very complex topics were explained very comprehensively and clearly, and put into a wider context of how to use these in real-life situations."
– Colin Styles, Information Architect, Sussex Health Informatics Service
Workshop Description
Predictive analytics has proven capable of enormous returns across industries – but, with so many core methods for predictive modeling (machine learning), there are some tough questions that need answering:
- How do you pick the right one to deliver the greatest impact for your business, as applied over your data?
- What are the best practices along the way?
- And how do you avoid the most treacherous pitfalls?
This one-day session surveys standard and advanced methods for predictive modeling.
Dr. Elder will describe the key inner workings of leading machine learning algorithms, demonstrate their performance with business case studies, compare their merits, and show you how to pick the method and tool best suited to each predictive analytics project. Methods covered include classical regression, decision trees, neural networks, ensemble methods, resampling techniques and more.
The key to successfully leveraging these methods is to avoid “worst practices”. It's all too easy to go too far in one's analysis and “torture the data until it confesses” or otherwise doom predictive models to fail where they really matter: on new situations.
Dr. Elder will share his (often humorous) stories from real-world applications, highlighting the Top 10 common, but deadly, mistakes. Come learn how to avoid these pitfalls by laughing (or gasping) at stories of barely averted disaster.
If you'd like to become a practitioner of predictive analytics – or if you already are, and would like to hone your knowledge across methods and best practices, this workshop is for you!
What you will learn:
- The tremendous value of learning from data
- How to create valuable predictive models with machine learning for your business
- Best Practices by seeing their flip side: Worst Practices
Why Attend?
View Dr. Elder describing the course in this brief video:
Schedule
- Workshop starts at 8:00am
- Morning Coffee Break
- Lunch provided
- Afternoon Coffee Break
- End of the Workshop: 3:45pm
Attendees receive a free copy of John Elder's ebook Handbook of Statistical Analysis and Data Mining Applications, a PDF of all training slides from this workshop, and an official certificate of completion at the conclusion of the workshop.
Instructor
Dr. John Elder, Founder and Chair, Elder Research, Inc.
John Elder leads America's most experienced Data Science consultancy. Founded in 1995, Elder Research has offices in Virginia, Washington DC, Maryland, and North Carolina. Dr. Elder co-authored books on data mining, ensembles, and text mining — two of which won book-of-the-year awards. John was a discoverer of ensemble methods, chairs international conferences, and is a popular keynote speaker. Dr. Elder is an (occasional) Adjunct Professor of Engineering at UVA, and was named by President Bush to serve 5 years on a panel to guide technology for national security.
