Início Machine Learning no InfoQ Brasil
Apresentações
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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.
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Panel: Kaggle as stepping stone for a Data Scientist career
In this panel we will see a talk about data science competitions and how this can change your career.
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Deep Recommender Systems
In this talk, you will understand the big picture of state-of-art RecSys techniques based on DL. We’ll present a practical example of News Recommendation implemented with Tensorflow. We’ll also i(...)
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Recomendação de conteúdo na escala do iFood
Nesta palestra vamos apresentar os desafios relacionados a recomendação de conteúdo na escala do iFood e como temos trabalhado para aumentar a personalização do seu aplicativo. Serão abordados te(...)
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Extracting Entities and Relations in Portuguese Documents
This talk describes an application developed to interpret documents, extracting important information. A pipeline of machine learning models comprising Named-Entity Recognition and Relation Extra(...)
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AI-based Assistant for Business Process Outsourcing
The BPO ASSISTANT distributes tickets to attendants, predict attendant performance and levels of proficiency, and provides a recommendation service to solve tickets faster. We describe a framewor(...)
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Utilizando Machine Learning nos seus Apps
Saiba como tirar todo proveito dos serviços cognitivos do Azure para dar mais inteligência à sua aplicação.
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Criando um chatbot para automação de tarefas utilizando IBM Watson + Telegram + Python + Django
Iremos construir um bot que irá interagir com o usuário e já realizar ações que antes era manual, no nosso exemplo, o bot irá realizar uma troca de senha para o usuário, automático, sem intervenç(...)
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The Missing Step in Moving from Data to Models: Feature Engineering for Machine Learning
Machine learning fits mathematical models to data to derive insights or make predictions. In this talk, we will dive deeper into the mechanisms behind popular feature engineering techniques and w(...)
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Graph Mining with Deep Learning: challenges and pitfalls
Deep learning is widely use in several cases with a good match and accuracy. But when it comes to social networks there is a lot of problems involved, for example how do we represent a network in(...)
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Operação Serenata de Amor: inteligência artifical para controle dos gastos públicos.
Envolvido no impacto que projetos data driven podem trazer em prol da sociedade, Pedro vai passar sua experiência na Operação Serenata de Amor em uma fala sobre o uso de dados abertos, abordando (...)
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Mesa Redonda sobre Banco de Dados e Carreira
Um bate papo, sobre banco de dados, machine learning, tecnologias emergentes, carreira e muito mais.
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