Chapter 11: Understanding the Hyperparameters of Popular Algorithms
Most machine learning (ML) algorithms have their own hyperparameters. Knowing how to implement a lot of fancy hyperparameter tuning methods without understanding the hyperparameters of the model is the same as a doctor writing a prescription before diagnosing the patient.
In this chapter, we’ll learn about the hyperparameters of several popular ML algorithms. There will be a broad explanation for each of the algorithms, including (but not limited to) the definition of each hyperparameter, what will be impacted when the value of each hyperparameter is changed, and the priority list of hyperparameters based on the impact.
By the end of this chapter, you will understand the important ...
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