What to Learn in Data Science (2023)

Author(s): James Koh

Originally published on Towards AI.

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Beginners, and even existing ML practitioners and data scientists, get lost in the large sea of endless information. There is information overload, and it might not be possible to know what article is worth reading until we actually read it. As non-experts looking for information, these questions come to mind.

Is this article legitimate? Can I trust what’s written here?Is this explanation suitable for a newcomer to the field, or is the writer skipping lots of important details?Is this information even useful and worth investing my time in the year… Read the full blog for free on Medium.

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Published via Towards AI