🇬🇧 Detecting Malaria through Machine Learning on a Budget with Eduardo Peire

This is a Rerun of Episode #5 of the dlighted datafit podcast, that I did back in 2018 with my Co-Host Tizian Kronsbein

--

Eduardo is an AI and ML Consultant and the Founder AiScope.

With AI Scope he is absolutely doing something great and good for the world.

Ai Scope dedicated its focus to diagnose global diseases such as malaria, tuberculosis and intestinal parasites in every isolated village with the help of artificial intelligence. Using Machine Learning, they developed a portable and ultra cheap solution, and open-sourced it!

We talked about their development process and their vision. We also discussed whether or not Artificial Intelligence can make doctors obsolete in the future, how you become a data scientist but also if it is necessary to be data literate at all.

You can find more information on AI Scope here: http://aiscope.net

You can find Eduardo here: https://www.linkedin.com/in/eduardopeire/

Data Science Sleepover: http://aiscope.net/data-science-sleep-over/

Good explanation of Deep Learning: https://medium.com/@RosieCampbell/demystifying-deep-neural-nets-efb726eae941

The difference between false positives and false negatives: https://developers.google.com/machine-learning/crash-course/classification/true-false-positive-negative

John Hopkins University’s Online Course on Data Science: https://ep.jhu.edu/programs-and-courses/programs/data-science

Hosted on Acast. See acast.com/privacy for more information.