Analytics Summit Training, Data Mining, Machine Learning, Big Data
Analytics Summit 2018 May 14-16
Training Highlights
DATA MINING: Dr. John Elder of Elder Research teaches the Data Mining two-day training "Tools for Discovering Patterns in Data".
One of the top data mining experts in the world, John has authored several books on the topic and is an in-demand keynote speaker and trainer.
Course covers the key inner workings of leading algorithms, compares their merits, and demonstrates their relative effectiveness on practical applications.
Intended for those who work with data and wish to understand and use recent developments in predictive analytics.
MACHINE LEARNING WITH R: Brad Boehmke and Brandon Greenwell, both Data Scientists with 84.51, will be co-instructors for the "Machine Learning with R" two day training.
Brad has authored a book "Data Wrangling with R"
Both are co-authors of an upcoming book "Advanced Analytics with R" .
Outstanding reviews from attendees for their knowledge of the subject and their teaching methods
For those with an intermediate knowledge of R, this class is highly recommended
BIG DATA WITH HADOOP AND SPARK class will be taught by two UC professors and researchers in Big Data topics, Andrew Harrison and Jay Shan.
Introductory course in Big Data and Spark
Goes beyond basics to introduce some technical components.
Most analytics with big data will be performed using Spark and HiveQL
This course is appropriate for those who want to learn more about how Spark and HDFS function and those beginning a career in big data analytics.
MORE INFORMATION AND REGISTER
CONFERENCE KEYNOTE SPEAKERS MAY 16
Craig Brabec
Director, Global Data Insights & Analytics
Ford Motor Company
Bill Franks
Chief Analytics Officer
International Institute for Analytics
Cameron Davies
Senior VP, Analytics and Strategy
NBC Universal
ALL-DAY TRACK SESSIONS MAY 16 - 3 SPEAKERS IN EACH TRACK
Data Visualization
Advanced Analytics
Sports Analytics
Case Studies in Big Data/Analytics
Analytics Management and Leadership
No comments:
Post a Comment