Christoph Best is a computational scientist in Google’s Quantitative Marketing Research team, where he works on scaling up algorithms and tools for data science.
He joined Google in 2010 from the European Bioinformatics Institute, where he worked on Image Databases and Bioimage Informatics.
With a background in computational high-energy physics and bioinformatics, he has worked previously at the Max Planck Institute for Biochemistry, the University of Munich, the Massachusetts Institute of Technology, and several supercomputing centers.
In 2009, he was a member of the High-Level Expert Group on Scientific Data of the European Commission.
Christoph holds a Dr. phil. nat. in Theoretical Physics from the University of Frankfurt.
|Big Data, Deep Trends: Learning from Big Data in Quantitative Marketing||05 NOV 2015||10:00am - 10:30am|
Big Data is not just "Much Data". Just as it challenges us to develop new and different algorithms and tools - like MapReduce, Hadoop, Spark, and many others - to process very large data sets, Big Data also opens up qualitatively different and new ways to learn from and understand data. Quantitative Marketing harnesses observational data to better understand user behavior using statistical modeling and machine learning to extract meaning from Big Data. Based on examples from Google Trends, I discuss what makes Big Data different, what tools are required to process it, and which algorithms can help to understand it.