Is Deep Learning bridging the gap between ML and Data Science?

I’m taking the AI for Everyone course in which the differences between ML and Data Science are clearly highlighted. However - I’ve noticed with the more recent advancements in deep learning it seems that ML is actually able to take on much more complex problems and therefore is becoming more like Data Science.

Interested to hear whether others feel deep learning is moving machine learning more toward data science?

@James_Partington My personal view is that Deep Learning is a subset of ML and they are used in different situation. Eg. DL is more suitable for those unstructured data like image and audio etc. whereby ML is good for those “excel sheet” like structured data. And for Data Science, it cover the spectrum of data processing and extract meaningful insight of data which can integrate many discipline like statistics, data analysis and machine learning which I would say ML is a subset of Data Science :blush:

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