Going Beyond ML: Exploring Computer Vision and NLP using Deep Learning

Abstract

Machine learning is the modern day buzzword in Information Technology, yet most of its actively developed fields have been separately researched rather than integrated into one. However, with advances in research in ML, researchers are exploring the possibilities of applying fields like NLP and computer vision using Deep learning, to leverage benefits of both.

Our AI/ML expert Sayan will take us beyond the basics of Machine Learning and explain the industry use-cases of Deep Learning. He will also explain case studies of Computer Vision, real-time face detection using YOLO, exploring the world of deep fakes using GAN, an example of NLP model, and demos of state of the art language models.

Agenda

• Deep Learning – why and how?

• Deep Learning industry use cases - Banking & Finance, Manufacturing, Healthcare etc.

• Computer Vision Case Study – Classification, Localization, Detection and Segmentation

• Real-Time Face Tracking and Object Detection using YOLO

• Build a model to segment salt deposits beneath the Earth's surface

• Exploring the world of Deep Fakes using Generative Adversarial Networks [GAN]

• Build an NLP model to predict whether a comment is toxic or not as used by YouTube 

• Demos on Topic Modeling, Word2vec and few other state-of-the-art language models

  
  

About the Speaker

Our AI/ML expert – Sayan Dey, has 13+ years of rich experience as a Data Science and Analytics professional across the analytics technology stack. He has also worked for 3+ years in the domain of AI and ML. 

Actively involved in tech events/seminars across Bangalore, he has been a passionate evangelist of analytics and BI technologies such as Power BI, Spotfire, Python, Alteryx, etc. Amongst his many IT certifications are: IBM Certified Data Scientist, TIBCO Certified Spotfire Author, Microsoft Certified Professional, MCTS, SQL Server 2008 – BI Dev and Maintenance, etc. He is a highly sought after corporate trainer for various trainings on ML using Python and R.