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Lab Materials for MIT 6.S191: Introduction to Deep Learning

License: MIT License

Python 3.57% Shell 0.04% Jupyter Notebook 96.40%

introtodeeplearning's Introduction

Ka Hei, Chow

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I am a remote sensing professional, data scientist, and Hongkonger passionate about Earth Observation, Climate Risk, and Sustainability. Formerly a climate risk consultant at the World Bank Group, I worked on mapping heat hazards and vulnerabilities in Pakistan using satellite data. Currently, I am a geospatial data engineer working on accelerating nature-based solution projects.

My research interests include disaster risk and cryosphere dynamics. More specifically, I am interested in applying remote sensing, geospatial data, and machine learning to study how climate change impacts global communities in the present and future. 🛰️ The remote sensing data I have been using includes Landsat, MODIS, AVHRR, VIIRS, SRTM, GRACE, and Sentinel-1, 2, and 5, using mostly the following tools:

python R-programming matlab QGIS ArcGIS


🌱 If you want to understand more about what I did, you can visit my repositories or website.


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