What is the role of functional programming in machine learning?
Functional programming offers a declarative approach, making it easier to reason about code and manage state in machine learning.
Can you give me an example of functional programming in a machine learning context?
Sure! In Python, using libraries like NumPy, you can apply functions to arrays without explicit loops, enhancing readability.
What are the benefits of using functional programming for data processing?
Benefits include improved modularity, easier debugging, and better handling of side effects, which are crucial in data processing.
Are there any popular machine learning frameworks that support functional programming?
Yes, frameworks like TensorFlow and PyTorch allow for functional programming paradigms, enabling more concise model definitions.
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