Machine Learning for High-Risk Applications
The Data Exchange with Ben Lorica
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The Importance of Data in Engineering Design
A lot of, so models have weak spots where they perform a logic and make silly mistakes. And it's typically because we're either out on the tails or just for whatever reason, we're operating in a sparse part of the training data. If you don't take anything else out of this podcast, check your model for weak spots in performance across segments.
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