In this course, we will be focusing on predictive modeling fundamentals. These are the mathematical algorithms, which are used to "learn" the patterns hidden in data that help companies save or earn millions of dollars!
Learn the crucial step in the Big Data Lifecycle – using big data to make decisions!
Mikhail Lakirovich is an Advisory Data Scientist, Strategy Consulting at IBM. He joined IBM in 2014 and worked as a Technical Product Marketing Manager. Prior to his work at IBM, Mikhail worked as a marketing manager at Baxter International Inc.
Greg Filla is a Product manager intern - SPSS at IBM. He is a Masters Candidate - Predictive Analytics at DePaul University. Prior to this work, Greg was a ACA HR Analyst at LaSalle Network, and a Retirement Plan Specialist at RPS Benefits.
Armand Ruiz is the product manager of Advanced Analytics at IBM. He joined IBM in 2011 and has worked as a Product Engineer, Research Developer for Smarter Cities, Developer Advocated for IBM Data Science, and Technical Product Manager for SPSS Programmability and Extensibility. Prior to IBM, Armand worked as a Data Scientist at Vodafone.