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Hamed Alemohammad: Open Machine Learning for Satellite Imagery - MBM#34

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Manage episode 348577278 series 2913396
Content provided by Maxime Lenormand. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Maxime Lenormand or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Hamed Alemohammad was the previous Executive Director of the Radiant Earth Foundation, a Non-Profit focused on building open machine learning tools & datasets for satellite imagery through projects like the ML Hub & STAC, Spatio Temporal Asset Catalog.

---
Episode Sponsor: OpenCage
Use OpenCage for your geocoding needs with their API.
They have a generous Free trial you can sign up to!
---

About Hamed
- Twitter
- LinkedIn

Shownotes

Timestamps
00:00 Introduction
03:01 Hamed's Interest for Earth Observation
08:53 Joining the Radiant Earth Foundation
10:25 What is the Radiant Earth Foundation?
12:14 Why a Non-Profit?
15:34 Finances & Incentives: Where does the money come from?
19:10 Choosing to focus on Machine Learning; ML Hub
26:43 Capacity & Community Building
30:42 Only a 10 people team
34:44 Comparing to Google Earth Engine, AWS & Microsoft Planetary Computer
41:01 Making Decisions & Measuring Progress in a Non-Profit
44:12 Machine Learning Competitions & Kaggle
48:22 Challenges of Working with External Organizations
51:19 Building Models is Sexy but only a small part of Machine Learning
55:55 Who is the ML Hub build for?
57:59 From Researcher to Executive Director
01:01:37 What does being on the Board of Directors Mean?
01:06:18 Hamed's Journey from Iran to working in the US
01:11:03 Advice for people outside the US & Europe
01:15:46 The limitations of English for a truly worldwide reach

Feel free to reach out!
- Website
- My Twitter
- Podcast Twitter
- Read Previous Issues of the Newsletter
- Edited by Peter Xiong. Find more of his work

  continue reading

72 episodes

Artwork
iconShare
 
Manage episode 348577278 series 2913396
Content provided by Maxime Lenormand. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Maxime Lenormand or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Hamed Alemohammad was the previous Executive Director of the Radiant Earth Foundation, a Non-Profit focused on building open machine learning tools & datasets for satellite imagery through projects like the ML Hub & STAC, Spatio Temporal Asset Catalog.

---
Episode Sponsor: OpenCage
Use OpenCage for your geocoding needs with their API.
They have a generous Free trial you can sign up to!
---

About Hamed
- Twitter
- LinkedIn

Shownotes

Timestamps
00:00 Introduction
03:01 Hamed's Interest for Earth Observation
08:53 Joining the Radiant Earth Foundation
10:25 What is the Radiant Earth Foundation?
12:14 Why a Non-Profit?
15:34 Finances & Incentives: Where does the money come from?
19:10 Choosing to focus on Machine Learning; ML Hub
26:43 Capacity & Community Building
30:42 Only a 10 people team
34:44 Comparing to Google Earth Engine, AWS & Microsoft Planetary Computer
41:01 Making Decisions & Measuring Progress in a Non-Profit
44:12 Machine Learning Competitions & Kaggle
48:22 Challenges of Working with External Organizations
51:19 Building Models is Sexy but only a small part of Machine Learning
55:55 Who is the ML Hub build for?
57:59 From Researcher to Executive Director
01:01:37 What does being on the Board of Directors Mean?
01:06:18 Hamed's Journey from Iran to working in the US
01:11:03 Advice for people outside the US & Europe
01:15:46 The limitations of English for a truly worldwide reach

Feel free to reach out!
- Website
- My Twitter
- Podcast Twitter
- Read Previous Issues of the Newsletter
- Edited by Peter Xiong. Find more of his work

  continue reading

72 episodes

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