Apresentações

How Artificial Intelligence has changed your life

Artificial Intelligence (AI) is all around us and has profound effects on our work and everyday lives. AI amplifies human ingenuity with intelligent technology, keeping people in control while au(...)

Distributed Tracing: How the Pros Debug Concurrent and Distributed Systems

In this talk we're going to introduce the emerging OpenTracing standard and talk about how you can instrument your applications to help visualize every operation, even across process and service (...)

Ensemble Techniques for High Performance Machine Learning

Deep NLP - Redes neurais revolucionando o processamento de linguagem natural

Processamento de linguagem natural está em todos os lugares: em chatbots, em assistentes virtuais como a Siri, em tradução simultânea e até nas respostas sugeridas para os seus emails. Nesta pale(...)

Machine Learning e experimentos online para evitar o cancelamento de assinaturas no GloboPlay

Vamos explorar técnicas de Machine Learning utilizadas para reduzir o churn do GloboPlay principalmente para encontrar os assinantes mais prováveis de cancelar e as métricas correlacionadas, espe(...)

Distributed Systems: When Democracy and Computer Science Come Together

Designing a distributed system is not a trivial matter. Since we cannot rely on a server clock, what can we do? Enter Raft - a new, understandable algorithm of achieving consensus in a distribute(...)

Adversarial Attacks on Deep Learning

In this talk we discuss adversarial attacks formally and informally, and summarize the debate on: are adversarial images a big catastrophic failure? an amusing curiosity? something in-between? We(...)

Panel: ML ecosystem in Brazil

Um bate papo sobre o cenário de Machine Learning no Brasil

Machine Learning em saúde: técnicas e aplicações

Nesta palestra vamos falar sobre a aplicação de Gradient Boosting, Deep Learning e Unsupervised Learning em projetos da área de Saúde, com base em aplicações reais que vão desde a previsão de co(...)

EY Aleph: deep learning applied to jurimetrics practice

The jurimetrics practice in Brazil, when exists, usually is done with local data from legal offices using data collected from its own cases using time-consuming manual processes. Our approach is(...)

Architecture of an NLP Deployment

This talk explores the deployment of machine learning models as part of a larger system. The existing environment has an influence on available options. We will look at the different functional c(...)

Hindsight bias: A machine learning story

In this session, you'll learn about data leakage (aka label leakage) challenges while building Salesforce Einstein and the methods we used to detect and fix them automatically.