This course provides a concise yet comprehensive hands-on experience in implementing data curation methodologies, focusing on creating and refining data feedback loops. By focusing on the iterative data-centric feedback loop, this course helps equip you with the practical skills and mindset needed to build robust and reliable AI systems. Learn how to train computer vision models, critically evaluate their performance, identify weaknesses, and continuously improve your datasets for better results.
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