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Wednesday, Aug. 8, 2018 | 9:00 AM - 9:00 AM UTC+0
This webinar is designed to help users understand the end-to-end data science processes of using a propensity model on Alibaba Cloud’s Machine Learning Platform for AI; from defining the business problem, exploratory data analysis, data processing, model training to testing and deployment. You get an end-to-end case study (including a live demo) on how to use Alibaba Cloud products to predict the propensity of loan defaults.
Pradeep Menon, Staff Solution Architect
Pradeep is a seasoned Big Data and AI professional. He has more than 15 years of experience in this domain and has a proven track record of helping organizations to transform. Currently, Pradeep leads the Big Data and AI Solutions at Alibaba Cloud. In this role, he consults his clients to be more data-driven and realize the value of data by the practical application of Big Data and AI technologies. Before Alibaba Cloud, Pradeep was Advanced Analytics and AI Architect with Microsoft where he spearheaded the creation of Advanced Analytics and AI strategy for key customers. Pradeep holds a Masters Degree in Analytics from NYU Stern and an MBA from Strathclyde Business School. He is an also a distinguished speaker and has given various talks on the topics on Big Data and AI.
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