The Philosophy of Machine Learning (with Alex Mussgnug)
- Clara Lenherr
- Jun 23, 2022
- 1 min read
Updated: Sep 27, 2024
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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