What are some examples of data structures used in machine learning?
An example of an AI chatbot conversation about data structures in machine learning.
What are some examples of data structures used in machine learning?
In machine learning, common data structures include arrays, lists, trees, and graphs. Would you like to know more about any specific one?
Can you explain how arrays are used in ML?
Arrays are used to store datasets, features, and model parameters efficiently. They allow for fast computations and easy manipulation.
What about trees? How are they utilized?
Trees are used in decision tree algorithms for classification and regression tasks. They help in making decisions based on feature values.
Are there any specific libraries that implement these data structures?
Yes, libraries like NumPy for arrays, scikit-learn for decision trees, and NetworkX for graphs are widely used in ML.
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