What are the common data structures used in machine learning?
An example of an AI chatbot conversation about common data structures in machine learning.
What are the common data structures used in machine learning?
Common data structures in machine learning include arrays, lists, matrices, data frames, and tensors. Each serves different purposes.
Can you explain how a data frame is used in ML?
A data frame is used to store tabular data, allowing for easy manipulation and analysis, especially with libraries like Pandas.
What about tensors? How are they different from arrays?
Tensors are multi-dimensional arrays that can represent data in various dimensions, making them essential for deep learning.
Are there specific libraries that utilize these data structures?
Yes, libraries like NumPy for arrays, Pandas for data frames, and TensorFlow or PyTorch for tensors are commonly used.
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