Decoding the Data Science Buzz

Abstract

This decade has witnessed an enormous amount of innovation through the Internet of Things, Big Data, and Artificial Intelligence owing to the massive boost in the generation of data from multiple heterogeneous sources. In order to enable smart utilization of this data, Data Scientists must unveil the trends and patterns in order to help the companies in extracting actionable insights and make data-driven decisions. These opportunities have made Data Science a highly in-demand field in the industry as well as academia. This webinar will give the audience an overview of the data science landscape, highlighting some of the work going on in SEECS, and clarify some common misconceptions around the Data Science buzz.

Learning Outcomes

The webinar will give you a knowledge boost revolving around the following questions

• Why do we care about Data Science?
• How is data converted into useful predictions and insights?
• What scientific tools and knowledge extraction system do Data Scientists use?
• How do Data Science & Machine Learning overlap?

Key Benefits

After attending the webinar, you will have

• A clear understanding among Data Science, Machine Learning, and Data Engineering.
• An understanding of data exploration, prediction, intervention, and understanding.
• An overview of cutting-edge applications of Deep Learning and Artificial Intelligence.
• A sound advice on career options in different domains of Data Science and Machine Learning.

Speaker

Prof. Dr. Faisal Shafait received his PhD in Computer Engineering from TU Kaiserslautern, Germany in 2008 with the highest distinction and currently working as the Director of Deep Learning Laboratory at the National Center of Artificial Intelligence (NCAI), Islamabad, Pakistan as well as a Professor at School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan. He has more than 12 years of industry and academics experience of working for leading organizations and research centers including German Research Center for Artificial Intelligence (DFKI), Germany; Google Inc., USA, and UWA Australia. His research interests include Machine Learning and Data Science with a special emphasis on designing deep learning architectures for solving various computer vision problems in academia and industry.

Registration

Registration Closed

After registering, a confirmation email will be received containing information about joining the event.

Since limited seats are available on a first-come-first-serve basis, don't waste time and get yourself seamlessly registered through your institutional email IDs before Saturday (June 13, 2020 | 23:59).