April 12, 2022, 2:27 p.m. | Himanshu Pareek

Towards AI - Medium pub.towardsai.net

Link to part 1 of this case study

Link to part 2 of this case study

In the last part we built some models on our train data and calculated metrics on our test data.

Bayesian optimization and Hyperopt:

Hyperopt is a tool that finds the best model and hyperparameters based on Bayesian optimization and SMBO (sequential Model-based global optimization). Essentially, with Bayesian optimization, it finds P(score|configuration) — the probability of score given a certain configuration, for different configurations and …

audio-classification bayesian-optimization convolutional-network covid deep learning machine learning part patterns

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