"A Learning Curve is Essential to Growth" - and we as a Data Science Club strongly believe in that and we always try our best to come up with such ideas and events which help students to learn new things and scale up their knowledge base.
Recently we had one such event - ML Beyond Prediction. This was a tech talk and the idea behind it was simple - explore and learn about new things that we can achieve by applying basic Machine Learning principles. Machines can do a lot more things these days, they are intelligent enough to handle LOTS of data and with the latest advances happening in technology it’s becoming evident that computers and machines can perform all sorts of complex tasks - that’s the essence of what machine learning is all about.
Generative Adversarial Networks (GAN) and Deep Reinforcement Learning :
We got this amazing opportunity to attend a tech-talk from The University of Texas at Dallas' PhD students - Devendra Singh and Mayukh Das on Generative Adversarial Networks and Reinforcement Learning.
GANs are cool! Period! It’s interesting how GANs are slowly becoming the required knowledge for data scientists, of course along with other necessary skill sets. GANs can generate and alter images of celebrity faces, want to generate some creative arts – go ahead and use GANs, image refining, face aging, photo blending and what not. AI can think by itself with the power of GAN. The session was really engaging and informative, we all learned something about GAN and RL.
As a member of Data Science Club we always try our best to arrange for such enlightening sessions, and its always good to see so many curious fellow graduates who come in large numbers and attend these sessions, this shows that we are adding some value and helping each other through these student bodies. Going forward, we are going to organize many more such events and tech sessions.
Additionally, its always a pleasure to see the team of such Active and Enthusiastic Volunteers & Officers who kept everything running smoothly through out the course, a big thanks to all of you. Keep up the good work y'all. #KeepLearningKeepGrowing