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GeoAI-Africa
  • Home
  • Resources
  • Events
    • Workshop @ AMLD Africa 2024
    • Tutorial @ Deep Learning Indaba 2024
    • Workshop @Deep Learning Indaba 2024
  • Projects
  • @GeoAIAfrica
  • Contact
  • More
    • Home
    • Resources
    • Events
      • Workshop @ AMLD Africa 2024
      • Tutorial @ Deep Learning Indaba 2024
      • Workshop @Deep Learning Indaba 2024
    • Projects
    • @GeoAIAfrica
    • Contact

Deep Learning Indaba 2023

Let's map Africa! Intro to Geospatial Machine Learning

14:00-16:00 pm September 7th, 2023  

overview:

In this tutorial we introduce the field of geospatial machine learning by first going over the geospatial data primitives then solving a machine learning problem in an "end-to-end" fashion.

We aim to cover the following:

  1. Introduction to geospatial data: vector and raster data primitives.

  2. Problem framing: introducing the problem that we are going to solve.

  3. Approach 1: Tabular Learning with LightGBM.

    • Data acquisition and preprocessing: we will get the data and preprocess it for machine learning.

    • Model fitting: we will fit a model to the data and conduct hyperparameter search.

    • Model evaluation: we will evaluate the model on the test data.

    • Inference: we will predict the output for the test data.

  4. Approach 2: Deep Learning with a Sequence-to-One model.

Topics:

Content: Geospatial Data Analysis, Computer Vision, Tabular Data.

Level: Beginner, Intermediate


Geo AI Africa coomunity: geoaiafrica@gmail.com

The GeoAI for a Sustainable Future in Africa Workshop @ Deep Learning Indaba 2024


08:00 am -12:30 pm, Satuerday 07/09/2024 

In this second edition of the workshop, we aim to bring researchers, policymakers, and regulators to discuss ways to ensure security and transparency while addressing fundamental problems in developing countries, particularly, when data and models are imported and/or collected locally with less focus on ethical considerations and governance guidelines.

Workshop Goals and Objectives:

Our primary goal is to foster the implementation of GeoAI solutions across different sectors for the sustainable development of African nations. Objectives include:

  • Showcasing the latest GeoAI advancements and their practical applications.

  • Discussing methodological challenges and ethical considerations within the African context.

  • Facilitating knowledge exchange and networking among students, researchers, industry practitioners, and policymakers.

  • Enhancing mentorship for up-and-coming scholars in the GeoAI domain.

Organizers

  • Gilles Quentin Hacheme Senior Research Scientist, Microsoft AI for Good Research Lab.

  • Akram Zaytar Senior Research Scientist, Microsoft AI for Good Research Lab.

  • Simone Fobi Nsutezo Senior Research Scientist, Microsoft AI for Good Research Lab.

  • Serah Peter-Adeoye Geo-spatial Data Scientist, DSNai.

  • Julian Kuehnert Research Scientist, IBM Research.

  • Girmaw Abebe Tadesse Principal Research Science Manager, Microsoft AI for Good Research Lab.

  • Sekou L. Remy Senior Research Scientist, Google Research.

  • Sabrina Amrouche Head of Data Science, ZYTLYN.

  • William Ogallo Senior Research Scientist at Google.

  • Ibrahim Salihu Yusuf Research Engineer, InstaDeep.

  • Arnu Pretorius Lead and Sr Research Scientist, InstaDeep.




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