Andrew Ng, Stanford University
Learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself.
Next Session: Apr 22nd 2013 (10 weeks long) Workload: 5-7 hours/week
Mathematical Biostatistics Boot Camp
Brian Caffo, John Hopkins University
This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.
Next Session: Apr 16th 2013 (7 weeks long) Workload: 3-5 hours/week
SOLD OUT! We gave out in excess of 800 seats.
On the coldest day in Minnesota in years people came in from the cold and boy, were they hungry for knowledge (and food -We went through 705 lunches).
“There are some big data meetups centered in the standard conference centers…Las Vegas, San Francisco, New York… but this is unheard of for a local meetup group, I don’t know of another one like it in the country.”
-Dave Fowler, Founder Chart.IO San Francisco, CA
Recent articles mentioning conference
Championing data at the juncture of Business, Tech, and Math. @MinneAnalytics
This is an all day multi-track event. We expect more than 700 participants.
Tracks and Sessions to include but not limited to:
- General Analytics & Basic Big Data
- Hadoop & NoSQL, (MapReduce, Pig, Hive, Cassandra, Drill...)
- Predictive Modeling
- Retail, Marketing & Customer Insight Analytics
- Social Media Analytics
- Data Visualization
First Floor Atrium, Auditorium (CSOM 1-115), Classroom CSOM 1-114, and the five rooms of the Executive Center.
Auditorium and Classroom 1-114
Executive Center (5 rooms)