Useful data is all around us, and capturing vast amounts of data is easier and more expected than ever. Skilled data scientists are less ubiquitous, however. Data science, in fact, has become increasingly challenging, and to master it, one needs a deep understanding of math, statistics and computer science. This complexity drives away many potential data explorers and consumers, leaving the joy of data-based discovery to a few enlightened gurus.
In this talk, Dr. Blaz Zupan, Assistant Professor at the Baylor College of Medicine, will argue that data-based discovery can be brought to the masses. To help convince the audience that empowering lay users with data mining skills is possible and easily achieved, the talk will be comprised of several practical demonstrations diving into several interesting data sets with the software suite Orange.
WHO SHOULD ATTEND
This event is intended for entrepreneurs and team leaders whose companies would like to take advantage of data, for or by their customers. This seminar is meant for folks looking for a means to explore data by themselves and those who believe story telling should be the driver of data analytics.
— B2B / B2C — Either
— INDUSTRY — Any
— BUSINESS MODEL — Any
— PRODUCT TECH — Any
— STAGE — Product-Market Fit (seed investment, v1.0 product released); Scale (series A investment, v2.0+ product released)
— BUSINESS FUNCTION — Strategy
WHAT ATTENDEES WILL LEARN:
— Machine learning, explained in 15 minutes.Image clustering and classification using deep learning
— Data mining through visual programming, construct of data analysis workflows, and use of interactive visualisations.
Additional homework to fully grasp essential ideas about data science
ABOUT THE SPEAKER — DR. BLAZ ZUPAN, BAYLOR COLLEGE OF MEDICINE
Dr. Blaž Zupan has worked on machine learning seemingly forever. He heads the bioinformatics lab at University of Ljubljana and is an Associate Professor at the Baylor College of Medicine in Houston. He believes that crafting simple tools that anybody can use to understand data is essential to advancements of humanity and democracy. His lab developed Orange (http://orange.biolab.si), a fully open-source, ever evolving data mining suite with a visual programming environment. He also enjoys writing scripts for YouTube videos to explain data science (check out youtube.com/orangedatamining
), and preparing courses that introduce data science to diverse audiences in biomedicine, pharmacy, the humanities and commerce.
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