Leiria - Mercado Sant'Ana, Leiria

Meetup : Data Science in Action, Neural Networks & Evolutionary Algorithms

26 de Fevereiro de 2020

Happy to announce our next Meetup on Data Science in partnership with the DSPT Community (Data Science Portugal) !

The first talk by Pedro Verruma, from TalkDesk, will share how they implemented Topic Classification at scale on their Cloud Contact Center.

The second talk by Nuno Lourenço, from Coimbra Universitory, to demonstrate how Data Science techniques can be applied to solve real-world and complex issues in the Health industry.

The event is organized jointly with TICE.Leiria, supported by La Redoute. It will take place at the auditorium of the Mercado Santana in the Center of Leiria, look for the TICE.Leiria rollup and organizers.

The talks will last from 18h30 to 20h30, followed by a cocktail & network space. The event is free and requires inscription on Meetup,

Thanks in advance for your participation and help in sharing the event, hoping to see you there!


Conversation Topic Classification at Talkdesk

Abstract: Talkdesk offers a Contact Center in the cloud that handles thousands of calls every day, and for each call we want to know what are the different intents expressed during the conversation (e.g. customer complaining, request for information, scheduling a meeting, etc). In this talk we will show how we are tackling this issue, starting by explaining how we do sentence classification to identify possible changes in the conversation topic, using intent detection techniques that take advantage of Neural Network approaches based on LSTMs. With sentence classification we can then group together sentences related to a specific topic (aka moments). We are also going to show how it is possible to group similar moments using unsupervised methods, such as clustering, and, on top of that, use supervised classification to identify moments that were manually annotated on previous conversations. To achieve this we are using state-of-the-art sentence2vec approaches like BERT, InferSent, Universal Sentence Encoder and others.

How I Learned to Stop Worrying and Love Artificial Intelligence
Abstract: Nature is a great designer and problem solver. Looking around us it is possible to see endless forms most beautiful that resulted from years and years of constant evolution. Amazed by nature’s ingenious inventive capacity, computer scientists have always tried to understand the way it works, by developing computational methods that can tackle complex problems. Remarkable examples of these proposals are the Artificial Neural Networks and Evolutionary Algorithms. The former are computational models inspired by the brain, whilst the latter are based on the natural selection theory posit by Darwin and inheritance mechanisms proposed by Mendel.
In this talk we will discuss how evolutionary algorithm can help us design an artificial brain that is able to distinguish images, and how they can help us design models that can predict the glucose levels in the blood.