Your Guide to Quality Data Science Products

Building Deep Learning vision models satellite imagery to assist in identifying and labeling property damage from natural disasters.

The algorithms we build affect lives. We have an ethical obligation not to teach our machines to be prejudiced. Here are some lessons and examples that will help you achieve this in your machine learning model assembly and use.

We need to build a culture where AI is built with a focus on the entire outcome, not just metrics or profit.

Climate change will exacerbate the consequences of natural disasters. Developing countries will be hit the hardest. We helped Dr. Junko Mochizuki build a decision support tool for policymakers in Madagascar to better mitigate this risk.

If you are an NGO working on species conservation and you want to use Artificial Intelligence, but you don't know how, here are some ideas for next steps. If you are an AI pro and/or Data Scientist and you want to learn how you can help, read on.

I had the honor to meet people who preserve biodiversity and genetic resources at the GenRes Bridge conference in Tuusula, Finland. I represented Appsilon Data Science's Data for Good initiative and shared pathways for incorporating DS and AI.

At Appsilon Data Science Consulting we advocate an exploratory approach towards utilizing machine learning to address climate change. We seek to inspire stakeholders fighting climate change by showcasing technologies

Our CTO used transfer learning to build an object detection model on a small dataset - the model can recognize certain animals in images.