Reproducible Machine Learning in Health Data Science
Welcome to the Reproducible Machine Learning in Health Data Science program at the University of Oxford. We are thrilled to have you join us in this exciting journey. Throughout this tutorial series, we will guide you through the complete life-cycle of a real-world machine learning project, including data collection, annotation, processing, and model construction. Although our focus is primarily on wearable devices, the development pipeline we will cover can also be applied to other applications. So whether you are a seasoned machine learning practitioner or just starting out, we hope that this series will equip you with the skills and knowledge necessary to tackle real-world problems in this exciting field.
Monday 13 March
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Practical 1
Setup of wearable sensors
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Practical 2
Virtual Environments
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Practical 3
AWS cloud computing
Tuesday 14 March
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Practical 1
Camera annotation
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Practical 2
Version control with git and GitHub
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Practical 3
Accelerometer processing