Data Science: Techniques and Impact
Ndapa, Naksahole, University of California, San Diego
Data-driven approaches have been successfully applied to problems spanning smart cities, computer vision, and language understanding.
Techniques such as deep neural networks can be trained to learn regularities in massive amounts of data due to advances in computing power. In this introductory talk, I will discuss some of the data science techniques that have emerged in recent years, and how they have transformed research fields, as well as the impact they continue to make across different application domains.