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The Philosophy of Machine Learning (with Alex Mussgnug)

In this episode, we were joined by Alex Mussgnug, who is currently undertaking a PhD in the epistemology of machine learning and data science. We have few resources for this episode since it was discussion-based.

How is machine learning related to neuroscience?

AI vs. Machine Learning vs. Deep Learning vs. Neural Networks: What’s the Difference? (from IBM website)

An overview of Spike Sorting, a commonly used analytical method for neuroscience data, and it's challenges:

Why is there a "data-phenomenon divide" in the way science works?

Alex mentioned the classical Philosophy of Science paper on data vs. phenomena:

"Saving the Phenomena"- James Bogen & James Woodward (1988)


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