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Machine Learning in Elixir
book

Machine Learning in Elixir

by Sean Moriarity
August 2024
Intermediate to advanced
374 pages
8h 44m
English
Pragmatic Bookshelf
Content preview from Machine Learning in Elixir

Peering into the Black Box

Before moving on in your machine learning journey, it’s important to know about one more type of optimization problem you’ll encounter in machine learning: hyperparameter search.

Hyperparameters are the details about an algorithm that aren’t directly learnable but affect the structure and outcome of the model training process. For example, the learning rate 1.0e-2 used in the previous section is a hyperparameter.

Hyperparameter search is concerned with finding hyperparameters that lead to the optimal performance of a model on an evaluation set. Hyperparameters can have a big impact on the evaluation of a model, so finding better hyperparameters can drastically improve model performance. Unfortunately, it’s difficult ...

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Publisher Resources

ISBN: 9798888651254Errata Page