Robotics

Track 4: Data Science

There are many definitions for data science, but we like to think of the field as the multidisciplinary approach to unlocking stories and insights from the data being collected on a variety of behaviours, topics, and trends. Data science is everywhere — and chances are you’ve already interacted with it today a whole lot. Take Google’s search engine, for example. Its algorithm and site ranking and results are firmly in the realm of data science. If you’ve uploaded a photo on Facebook and the social media platform suggested tagging a friend, you’ve interacted with data science. That Netflix recommendation to continue your binge watching, Amazon’s product recommendations, or targeted advertisements are all the result of data science.