Need a stats pro to clear my Optuna Distributed Bayesian Optimization test.
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I am looking for a statistically-savvy person who has deep expertise in Bayesian optimization to help me improve my optimization workflow for a production system. The process involves creating an experiment that uses Optuna and its distribution to choose the best configuration for a specific problem, and then training a deep learning model on that configuration using TensorFlow. he said This optimization process can be incredibly time-consuming and error-prone, especially with unconventional or complex datasets, and I want someone to step in and help me mitigate those risks. In addition to Optuna
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I’m a PhD candidate in AI/ML, with 6 years experience in Bayesian optimization, including several successful Optuna-based distributed experiments. I’ve had some recent experiences with Optuna and was hoping for some support for my test. Unfortunately, I’m aware of a few things that could be improved to make the experiment work smoothly. I’ve been working on my Optuna experiment for a couple of days. Unfortunately, it was running into some issues related to not having enough free memory, resulting in significant time delays. As a result
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