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2020 Feature Engineering for Spatial and Temporal Data

      • Teaching
      • 2023 Neural Networks Architecture
      • 2022 Neural Networks Architecture
      • 2021 Machine Learning over Encrypted Data
      • 2020 Feature Engineering for Data Engineering Guest Lecture
      • 2020 Feature Engineering for Spatial and Temporal Data
      • 2020 Feature Engineering and human-in-the-loop in Data Science Guest Lecture
      • 2019 Seminar The Importance of Domain Expertise in Data Science and Feature Engineering
      • 2018 NLG Traditional Approaches and Research Directions
      • 2018 Feature Engineering
      • 2017 Hybrid Information Extraction Systems
      • 2016 Hybrid Information Extraction Systems
      • 2014 Big Data Machine Learning
      • 2013 ML Workshop
      • 2011 FaMAF Intro to NLG
  1. Teaching
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  3. 2020 Feature Engineering for Spatial and Temporal Data

This course drilled down on two case studies from my feature engineering book. It was a two-hour course taught at the Mexican Research and Applications in AI summer school.

The Jupyter notebooks for the course are available in GitHub and they run directly in Google Collab.

The workshop itself (in Spanish) was recorded and it is available in YouTube.

An adapted version of this workshop was taught in English as part of a Fuse Machines Knowledge Sharing Session and it is also available on YouTube.

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