What are some common design patterns in machine learning?
An example of an AI chatbot conversation about design patterns in machine learning.
What are some common design patterns in machine learning?
Common design patterns in ML include data preprocessing, model selection, and hyperparameter tuning.
Can you explain the data preprocessing pattern?
Data preprocessing involves cleaning and transforming raw data into a suitable format for modeling.
What about model selection?
Model selection is the process of choosing the best model from a set of candidates based on performance metrics.
How do I implement hyperparameter tuning?
Hyperparameter tuning can be done using techniques like grid search, random search, or Bayesian optimization.
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