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December 5-6, 2016: Training
December 6–8, 2016: Tutorials & Conference
Amit Kapoor

Amit Kapoor
Data Storyteller, narrativeVIZ

Website | @amitkaps

Amit Kapoor is a data storyteller at narrativeViz, where he uses storytelling and data visualization as tools for improving communication, persuasion, and leadership through workshops and trainings conducted for corporations, nonprofits, colleges, and individuals. Interested in learning and teaching the craft of telling visual stories with data, Amit also teaches storytelling with data for executive courses as a guest faculty member at IIM Bangalore and IIM Ahmedabad. Amit’s background is in strategy consulting, using data-driven stories to drive change across organizations and businesses. Previously, he gained more than 12 years of management consulting experience with A.T. Kearney in India, Booz & Company in Europe, and startups in Bangalore. Amit holds a BTech in mechanical engineering from IIT, Delhi, and a PGDM (MBA) from IIM, Ahmedabad.


11:15am–11:55am Thursday, December 8, 2016
Data science and advanced analytics
Location: 328/329 Level: Intermediate
Bargava Subramanian (Binaize), Amit Kapoor (narrativeVIZ)
Creating better models is a critical component to building a good data science product. It is relatively easy to build a first-cut machine-learning model, but what does it take to build a reasonably good or state-of-the-art model? Ensemble models—which help exploit the power of computing in searching the solution space. Bargava Subramanian discusses various strategies to build ensemble models. Read more.
5:05pm–5:45pm Thursday, December 8, 2016
Data science and advanced analytics
Location: 321/322 Level: Intermediate
Bargava Subramanian (Binaize), Amit Kapoor (narrativeVIZ)
Average rating: ***..
(3.50, 2 ratings)
Ever wondered how Google Translate works so well, how the autocaptioning works on YouTube, or how to mine the sentiments of tweets on Twitter? What’s the underlying theme? They all use deep learning. Bargava Subramanian and Amit Kapoor explore artificial neural networks and deep learning for natural language processing to get you started. Read more.