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Denis, Fabian & Simon die Hosts deines neuen lieblings Startup Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Denis, Fabian & Simon die Hosts deines neuen lieblings Startup Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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🇬🇧 Detecting Malaria through Machine Learning on a Budget with Eduardo Peire

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Manage episode 481177610 series 2862544
Denis, Fabian & Simon die Hosts deines neuen lieblings Startup Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Denis, Fabian & Simon die Hosts deines neuen lieblings Startup Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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.

  continue reading

60 에피소드

Artwork
icon공유
 
Manage episode 481177610 series 2862544
Denis, Fabian & Simon die Hosts deines neuen lieblings Startup Podcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Denis, Fabian & Simon die Hosts deines neuen lieblings Startup Podcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

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.

  continue reading

60 에피소드

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