We’re excited to announce another TDX meetup, this time in partnership with Data Science Portugal (https://www.datascienceportugal.com/).
Join the conversation and learn more with José Amorim, from the University of Coimbra, and with Jafar Adibi, Talkdesk’s Head of Data Science and AI.
Title: Interpreting Deep Learning
Description: While deep learning models have reached high predictive capabilities in a wide range of applications, they are often perceived as black-boxes. Recently a variety of methods for interpreting these models have been introduced. While feature importance and visualizations give insight into the model’s decisions, rule extraction methods help us understand the model’s logic. Nevertheless, the tradeoff between performance and interpretability is still an open problem. This talk will start with a brief overview of deep learning, followed by a discussion of state-of-the-art methods used to interpret deep learning models and decisions.
By José Amorim (University of Coimbra)
Bio: José Pereira Amorim is a PhD student at the University of Coimbra. He got his master’s degree in Informatics Engineering at Faculty of Engineering of the University of Porto (FEUP). José is currently affiliated with the IPO-Porto Research Centre (CI-IPOP) and the Centre for Informatics and Systems of the University of Coimbra (CISUC) and his research is mainly focused on creating interpretable models in order to assist physicians in the field of oncology.
Title: The Tale of Two Cities: People & AI
Description: In this talk we will discuss the never ending battle between people and AI in all fronts. We illustrate how AI tries to enhance, optimize, simulate and replace human beings and how human begins become more complex to be replaced, understood or analyzed – the same human who is responsible for developing new frontiers in AI technologies.
By Jafar Adibi (Talkdesk)
Bio: Jafar Adibi is the Head of Data Science and AI at TalkDesk where his main focus is building AI enabled intelligent contact centers. Prior to joining Talkdesk, Jafar developed advanced Machine Learning solutions for understanding people behavior and consumer intelligence at PwC, Reunify and Incentica. He is a former research scientist at the USC Information Sciences Institute where he invented novel link discovery systems with applications in counter terrorism, business intelligence and viral marketing. Jafar holds a Ph.D. in Computer Science from the University of Southern California and is a recipient of multiple national and international awards.
6.00pm – 6.15pm: Registration (check in attendees)
6.15pm – 7.00pm: Interpreting Deep Learning (talk and QA)
7.00pm – 07.30pm: Coffee break (food & drinks on us!)
07.30pm – 08.15pm: The Tale of Two Cities: People and AI (talk and QA)
08.15pm – 08.20pm: Goodbye and Group Photo