Eduardo Peire - Using Machine Learning in Python to diagnose Malaria
3,373 views · Published 21 October 2017 · 16:16 · Indexed 1 November 2026
Channel: PyData · 2017 · Science & Technology
Malaria is a worldwide disease killing between 500.000 and 800.00 people every year. It affects lots of countries and spreads quickly. Until now, malaria is diagnosed either with paper stripes or, the most common and accurate method, visual inspection through a microscope. But there are new technologies to solve this problem, such as Computer Vision and machine learning. About the Speaker: Eduardo Peire is an engineer from Barcelona who developed a device under 50€, he will explain how it's device is able to diagnose malaria from a blood drop with Convolutional Neural Networks using Keras on the top of Tensorflow. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: https://github.com/numfocus/YouTubeVideoTimestamps
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