28. – 29.06.2017 / 3 keynotes/ 16 talks
Awesome and great moderators on the workshops, too!

June 28th – 29th, 2017, HUB385, Zagreb, Croatia
HUB 385 Academy

Day 2

09:00 – 10:00

Microsoft Tools and Platforms for the Data Science

Predicting customer churn is an important problem for banking, telecommunications, retail and many others customer related industries.

We will learn how Microsoft Azure Machine Learning, that solves the customer churn prediction problem, comes to life: From the creation of a workspace, to the preparation of data, to experimentation with machine learning algorithms, and then finally to the integration and integration of predictive insights. This session has been specifically designed to describe machine learning fundamentals, and to help enable and inspire existing developers taking their first steps to leverage cloud-based predictive models delivered with Azure Machine Learning.





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Bojan Prerad, Technology Solutions Professional for Data Platform, Microsoft Corporation. For the past ten years Bojan has worked across retail, banking, telco and other industries as a consultant, using analytics and big data to provide insights and solutions to clients for taking the right action at the right time, in order to achieve exceptional Customer Experience. He is a trusted advisor in front of customer, experienced in working with organizations from C-levels to consultants, bridging the gap between management, IT and business lines in order to define solutions, help increase value from their analytical environments and data by mapping business requirements to the correct skills, technology, resources, data and processes. Bojan holds a Master degree in Electrical Engineering, Department of Computer Science from University of Belgrade, Serbia.