Applying geospatial data for Machine Learning, with a focus on social good

In partnership with Data Science for Social Good Portugal, we are launching a series of webinars in AI topics related to social good. The first talk was by Paulo Maia, on the 28th of June, with the topic “Applying geospatial data for Machine Learning, with a focus on social good”. In case you weren’t able to register in time or attend the talk, it is available on the link below.

The main topics of this talk in Geospatial Machine Learning are:

  • Ways of representing geospatial data as inputs for machine learning models
  • Most common models for doing so
  • Pipeline for spatiotemporal problems and the most common types of problems in the literature
  • Example of possible use cases which use geospatial data (focus on social good issues)
  • Discussion + Q&A

 

 

The presented slides are shown below:

Slides are available here.

Like this story?

Subscribe to Our Newsletter

Special offers, latest news and quality content in your inbox.

Signup single post

Consent(Required)
This field is for validation purposes and should be left unchanged.

Recommended Articles

Article
Service Quality Improvement: An AI-Powered Roadmap

Drive service quality improvement with a practical roadmap covering KPIs, AI automation, change management, and measurement for lasting results.

Read More
Article
Generative AI Implementation Roadmap for Business Success

Follow a step-by-step Generative AI Implementation roadmap to align resources, integrate models, and secure strong ROI in your enterprise projects.

Read More
Article
Data Quality Management Techniques 2026

Master data quality management techniques. Learn to profile, cleanse, & validate data for better decisions & AI readiness.

Read More