Time Series in Environmental Data Science [Sponsored by NRCan]
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Time Series in Environmental Data Science [Sponsored by NRCan]

Starts: 30th July Sat 11am - 12noon ET
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Learn about Probabilistic Forecasting | Get exposed to and have discussions with the authors of cutting-edge research papers | Contribute to a repository | Potentially publish an article
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This engagement requires a lot of motivation, a few hours per week time commitment, some prior experience in Time Series Forecasting but no expertise in Probabilistic Forecasting.
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To join our Slack channel. 1. Join the AISC Slack. 2. Go to ‘add channels (beside Channels)’ → ‘Browse channels’. 3. Find & join #dg-time-series.
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Add our meeting link & time to your calendar
 

Overview


The topic of this working group will be Probabilistic Forecasting and it will consist of 3 phases.
  1. First, we will have authors of three cutting-edge research papers present to us their research.
  1. In the second phase, which will take about two/three weeks, we will define a minimal project (related to one of the presentations of the first phase) and ask participants to make hands-on contributions to the project repository.
  1. Finally, in the third phase, selected participants will be invited to form (a) small group(s) whose goal will be to take the repository from the second phase to the next level (eg. publish an arvix article).
 

Tentative Timeline


  • March 12- April 30th - Presentation Period. We will have authors of three cutting-edge research papers present to us their work on Probabilistic Forecasting.
  • May 1 - May 30th: Based on the presentations, we will define a minimal educational project and work on it. Members will be expected to have a concrete contribution to the project by the end of this period.
  • Members who can keep up will be invited to join a Core Team at the discretion of leads/ advisors.
  • June 1th - ... - Core Team works towards a next-level project.
 

Leads / Advisors


Mahdi Torabi Rad | Lead
 
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Alireza Koochali | Advisor
 
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Our Journey
 

Why join?


Aggregate Intellect hosts one of the most diverse ML communities in the world. Over the course of the working group
  • You’ll get an immersion into that community & walk out with some cool new friends.
  • Learn and get hands-on experience on Probabilistic Forecasting
  • Contribute to a repository that will be seen/used by many
  • Potentially publish an article on the topic
 
 
 
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Add our meeting link & time to your calendar