Venue: Wingify Software Pvt. Ltd., Netaji Subhash Place, Pitampura
Date: 1st December 2018
Note: Do remember to bring your laptops when you arrive at the venue! We have exciting events placed for you.
We want to create a thriving community of developers where they can meet, inspire, educate and brainstorm ideas with each other. Wingify DevFest aims to bring the developers under one-roof for a day, where the developers can contribute by giving a talk, workshop or by simply attending the event.
The theme for the second DevFest is Data Science and Engineering. Gather together for a day full of talks and activities related Data Science. With new innovations in Data Science/Machine Learning every day, more people across Industry and Academia need to utilise the power of Data. We have a compelling list of speakers to speak on the theme. Keeping with the spirit of the DevFest, we also have several engaging activites scattered throughout the day. You'll realize that data can be beautiful, where Rasagy Sharma will explain how to display your data in the best way possible. Expect to rack your brains too while solving the Data Science competition on Kaggle.
This session will introduce you to some inspiring data art projects, give a glimpse of how new chart types are created, and get you to make a unique representation based on your own data.
"What can you do with data? "
In this session, get an overview of how Google Cloud is democratising AI by creating AI solutions that easily plug into your existing workflows to give your business access to the power of AI. Rishi would be showcasing multiple demos on different customer use cases and scenarios.
"Making AI work for your Business"
Distributed Deep Learning enables both AI researchers and practitioners to be more productive and the training of models that would be intractable on a single GPU server. Ashutosh will introduce different distributed deep learning paradigms, including model-level parallelism and data-level parallelism, and demonstrate how data parallelism can be used for distributed training.
"Distributed System In Deep Learning Machine"
One of the pressing challenges in machine learning have always been lack of "right" data in the large volumes. We look at recent NLP Progress which allows us to work with laptop-scale compute, with small data and get amazing performance, rivalled only by Google-scale compute.
"NLP for Indic Languages"
Abhishek and Rohit will talk about the automated HR interview tool which Aspiring Minds' team has developed. They will discuss the facial and prosody features for detecting human emotions, and the intricacies of data collection and feature engineering.
"Can you detect human emotions automatically?"