Deploying Machine Learning Models in a Developing World Context
Jul 17, 2020
Speakers
Ernest Mwebaze
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About
Successful deployment of ML models tends to result from a good fit of the technology and the context. In this talk I will focus on the African context which is synonymous with developing context but I want to argue there is a difference. I will expound on the opportunities and challenges that this unique context provides and the assumptions made in deploying in such a context and how well they fit. Another angle of the talk will be on deployment with a view to influence societal good which may be different from deployment in a production system. I will also draw insights from some projects I have been engaged in towards this end.Successful deployment of ML models tends to result from a good fit of the technology and the context. In this talk I will focus on the African context which is synonymous with developing context but I want to argue there is a difference. I will expound on the opportunities and challenges that this unique context provides and the assumptions made in deploying in such a context and how well they fit. Another angle of the talk will be on deployment with a view to influence societal good which may b…
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AI & Data Science
Category · 10.8k presentations
About ICML 2020
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
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