What are the key data structures used in machine learning?
An example of an AI chatbot conversation about data structures in machine learning.
What are the key data structures used in machine learning?
In machine learning, common data structures include arrays, matrices, data frames, and tensors.
Can you explain how tensors are used in deep learning?
Tensors are multi-dimensional arrays that are essential for representing data in deep learning models.
What is the difference between a list and a numpy array?
Lists are flexible and can hold different data types, while numpy arrays are more efficient for numerical computations.
How do data frames help in data preprocessing?
Data frames provide a convenient way to manipulate and analyze structured data, making preprocessing easier.
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