Ask HN: As a data scientist, what should be in my toolkit in 2018?

Re:Ask HN: As a data scientist, what should be in my toolkit... by alexbeloi on Tuesday February 20, 2018 @02:12PM (#16423092)

I would amend as follows:

Skip abstract algebra, topology and analysis. If you find yourself in the same room as a number theory book, walk away slowly without making eye contact lest it cast a spell on you.

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Re:Ask HN: As a data scientist, what should be in my toolkit... by dsacco on Tuesday February 20, 2018 @02:16PM (#16423156)

If you skip analysis and at least elementary topology your understanding will be limited to discrete probability, at best. If you skip abstract algebra, you’ll miss out on a lot of buildup to advanced linear transformations and operations in vector spaces.

Sure, skip number theory. Like I said, you could swap that out.

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Re:Ask HN: As a data scientist, what should be in my toolkit... by alexbeloi on Tuesday February 20, 2018 @03:02PM (#16423639)

You could also spend months of your life learning the intricacies of measure theory, but then every measure in probability is a positive sigma-additive unit measure.

One can learn the necessary topology, analysis (etc.) in the relevant places (and the relevant depths) that they come up.

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