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Jordan Edwards: ML Engineering and DevOps on AzureML
Machine Learning Street Talk (MLST)
The No Free Lunch Theorem
Deep learning is a unifying computational paradise, which means you can use the same set of ideas and tools to solve any problem. You could imagine network architecture search, date augmentation, hyper barometers, learning rate tuning. It's also interestin to talk about where you want to use a deep learning model. We've seen that be on the automate machine learning side. Ani way to ease customers into deep learning is throwing in like bert burton coters as things that we can run on tex data.
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