Anindya Datta
Founder & CEO, Mobilewalla
Anindya Datta is a leading technologist and innovator with core contributions in best-in-class large-scale data management solutions, artificial intelligence, and internet technologies. As Founder, CEO, and Chairman of Mobilewalla, Anindya has combined the industry’s most robust data set with deep artificial intelligence and data science expertise to help enterprises build high performing, resilient predictive models.
Prior to Mobilewalla, Anindya founded Chutney Technologies which was acquired by Cisco Systems in 2005. He has been on the faculties of major research universities and institutes in the United States and abroad, including the Georgia Institute of Technology, University of Arizona, National University of Singapore, and Bell Laboratories. Anindya obtained his undergraduate degree from the Indian Institute of Technology (IIT) Kharagpur, and his MS and Ph.D. degrees from the University of Maryland, College Park, USA.
Sessions
Of all the choices made by data scientists in the course of building and operating models, feature engineering & selection is one of the most critical. Features have a substantive impact on a model’s quality, including its predictive accuracy and resilience. Unfortunately, as most ML scientists and practitioners are aware, feature engineering is more art than science. It is ad-hoc, messy, error-prone and ends up consuming 70-80% of the time and effort when building models, often resulting in sub-optimal feature selection leading to low-quality models. In this tutorial, we will introduce new ways of performing feature engineering, turning it into a systematic, procedural and scalable process, which is substantively more efficient than how it occurs currently. Participants will perform a hands-on, end-to-end, feature building exercise, with particular emphasis on feature engineering using Anovos (https://anovos.ai/ or https://github.com/anovos/anovos)