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Mathematics for Computer Science [pdf]

courses.csail.mit.edu

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Re: Mathematics for Computer Science [pdf]

#3
This book is a really accessible primer on the basics. Much more readable than a lot of other textbooks, which kind of go all-out in terms of rigor rather than present things intuitively. This was one of the textbooks we used in Princeton's introductory CS theory class (COS 340: Reasoning About Computation). The probability section is especially good.

Re: Mathematics for Computer Science [pdf]

#5

Is this a good start for Math required for Machine Learning ?

Not really. You're better off looking at introductory calculus and statistics. This book places more emphasis on discrete math.

One good way to go about it is to audit an online course [like Andrew Ng's] and figure out what gaps you need to fill in your knowledge to understand the material.

Re: Mathematics for Computer Science [pdf]

#9

Is this a good start for Math required for Machine Learning ?

Needs more:

Linear Algebra: http://joshua.smcvt.edu/linearalgebra/

Calculus: https://cnx.org/contents/i4nRcikn@2.48:H2TLb2-S@2/Introducti...

https://cnx.org/contents/HTmjSAcf@2.40:rrzms6rP@2/Introducti...

https://cnx.org/contents/oxzXkyFi@2.49:72YaCFgv@2/Introducti...

Re: Mathematics for Computer Science [pdf]

#10

Is this a good start for Math required for Machine Learning ?

No, this is for a general introduction to the mathematics of computer science. This looks like a basic (and good!) text any MIT freshman should be able to master. Perhaps it's for what 6.001 has morphed into?

If you understand this stuff, you really need linear algebra for today's "deep learning", which perhaps is 18.03 (I can no longer remember).

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