Pie & AI Montevideo: Building Recommendation Systems & Times Series Forecasting

El 27 de setiembre se llevará a cabo un nuevo evento de Pie & AI de la comunidad de deeplearning.ai en Montevideo. El evento será presencial.
Este evento forma parte de la serie Pie & AI de deeplearning.ai: https://www.deeplearning.ai/events/

El evento tiene cupos limitados. Para participar, deben inscribirse a través de la lista de attendees de Meetup.

En caso de completarse los cupos quedará habilitada una lista de espera. Los invitamos a anotarse y les confirmaremos en caso de liberarse un espacio.

👉 Contenidos
• Time Series Forecasting

• Speaker: Leonardo de los Santos
• Resumen: What is a time series? How do I choose the right model(s)? What preprocessing needs to be done and what things need to be taken into account? What is the state of the art in the area?
  The area of time series forecasting is an area that is constantly growing. Predicting the probability of an event over time can have a considerable impact that spans a very broad spectrum of disciplines. But like everything, it has an associated cost. As the information used becomes more complex, data analysis and modeling tend to become more complex at the same time, making it challenging to decide which way to go. Also, the amount of information pertaining to the area can become overwhelming, and it can be confusing where to start.
  The idea of the talk is to concentrate a series of concepts and resources, both to start diving into the area, as well as to reinforce previous knowledge and organize ideas. We will try to answer the questions raised above progressively, going through statistical models, reaching more recent models belonging to the area of Deep Learning.

• Building Recommendation Systems

• Speaker: César Reyes.
• Resumen: Every year a huge amount of new content is created on the internet and users interact with it, finding the more suitable and affine to their needs given a context, but the task could be very hard if you try it from scratch. In this context tech companies use the power recommendation system to build solutions that help users to have personalized experience in their digital journey. However, recommendation systems are not only recommendation models, it's a complex field that has many components that need to be considered to build real RecSys.

👉 Sobre los oradores:
Leonardo de los Santos: Electrical Engineer specialized in Signal Processing and Machine Learning. Research assistant at Universidad de la República (UDELAR).

César Reyes: I graduated as an Electronic Engineer in 2016 from the Federico Santa María Technical University where I started as Assistant Research in the Valparaiso Neuroscience Center in Chile, then I move to Uruguay were starting to work as Data Scientist in a Traveling company and now I'm Principal Data Scientist at Pedidos Ya developing and productionize ML product that solve real business problems that impact to every user in 15 countries. The last time I have been leading a personalization team that built different recommendation strategies for our user, and also I'm part of the team that is building the internal Machine Learning Platform. Additionally I'm co-founder of Alphalabs and professor of Montevideo University in the Data Science bachelor.

👉 Sponsors:
Marvik, Moove It y deeplearning.ai 🤖

¡Los esperamos!

This is a Pie & AI event in partnership with DeepLearning.AI. Pie & AI is a series of DeepLearning.AI meetups independently hosted by community groups. This event is hosted by Marvik. In addition to signing up on Meetup.com, sign up here (https://www.eventbrite.com/e/157288218295) if you'd like to receive a course promo code and future event updates from DeepLearning.AI