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#3 Meetup School of AI Campinas in partnership with AI Brasil
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#3 Meetup School of AI Campinas in partnership with AI Brasil
10 jul - 2019 • 18:30 > 10 jul - 2019 • 21:00
Evento presencial em Movile, Campinas - SP
Evento encerrado
#3 Meetup School of AI Campinas in partnership with AI Brasil
10 jul - 2019 • 18:30 > 10 jul - 2019 • 21:00
Evento presencial em Movile, Campinas - SP
Evento encerrado
Descrição do evento
== COST AND VACANCIES ==
FREE ENTRANCE \o/
50 VACANCIES
== DATE AND TIME ==
July 10th, 2019 (Wednesday)
Check-in: 6:30 PM
== VENUE ==
Movile
Site: https://movile.com/
Address: Av. Cel. Silva Telles, 977 - Cambuí, Campinas - SP, 13024-001
Reference point and access tips
N/A
Google Maps
== SCHEDULE ==
6h30 PM ~ 6h50 PM: Check-in, coffee and networking
6h50 PM ~ 7h00 PM: School of AI presentation
7h00 PM ~ 7h10 PM: Movile presentation
7h10 PM ~ 7h50 PM: Talk 1 (30 min talk + 10 min question)
7h50 PM ~ 8h30 PM: Talk 2 (30 min talk + 10 min question)
8h30 PM ~ 9h00 PM: Coffee and networking.
* The schedule may change during the event.
== ABOUT THE TALKS ==
OBS: Both talks will be in Portuguese.
TALK 1
DataOps for Machine Learning
Abstract
As if executing a successful Machine Learning project wasn't hard enough, we still have to deal with all the engineering issues that come up with it: inconsistent data, incompatible environments, dependency conflicts and so on. But most of those issues can be avoided just by adopting good practices. In this presentation you will get to know what is DataOps, how to adopt it and how it will help you finish your Machine Learning projects without that old feeling of "let's do better next time".
Speaker short-bio
I am a Data Engineer and Architect at everis, where I assist our Machine Learning team by designing pipelines that help them extract value out of data with the most efficiency. My latest works are focused in the engineering challenges that usually come up in Machine Learning projects and how we can solve them with DataOps.
Social networks and contacts
TALK 2
A Deep Learning architecture for News Recommender Systems
Abstract
Recommender Systems have been successfully employed by online services to help users choose from a large set of available items and to increase their engagement. Approaches like collaborative filtering, content-based filtering, and their hybrid combinations are very popular in that space. Researchers and leader companies have explored Deep Learning (DL) as the next big thing in RecSys, obtaining promising results in challenging scenarios. In this talk, we will present a neural network architecture for session-based news recommendation implemented in Tensorflow, which was open-sourced accompained by a real dataset of the G1 news portal, for your further experimentation.
Speaker short-bio
Gabriel Moreira is a Doctoral candidate at Instituto Tecnológico de Aeronáutica - ITA, researching about Deep Learning and Recommender Systems. At CI&T, he leads a team of Data Scientists in the transformation of companies digital experiences, by leveraging large structured and unstructured datasets using Machine Learning, Big Data and Analytics. He has recenlty been nominated as a Google Developer Expert (GDE) on Machine Learning.
Social networks and contacts
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Local
Movile
Avenida Coronel Silva Telles, 977 Cambuí
Campinas, SP
Sobre o produtor
School of AI
School of AI is a non-profit organization that promotes free talks, dojos and hackathons around the world with the purpose of democratizing AI.
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