Dynamic Model Building
Tim and Jeff delve into the concept of active inference, highlighting the shift from static to dynamic model building in machine learning. Jeff emphasizes the importance of optimal experimental design and the efficiency of seeking informative data in real-time, mirroring the process of hypothesis testing in scientific experiments.In this clip
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Machine Learning Street Talk (MLST)
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