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vayarajesh | 9 years ago

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

discuss

order

jonnybgood|9 years ago

Yes, discrete math is a good start for anything CS, but you'll definitely need more than what's presented here.

gumby|9 years ago

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).

vecter|9 years ago

This class is 6.042 and is not required for CS majors. 6.001 morphed into 6.01, which is something to do with python.

18.06 is linear algebra. 18.03 is differential equations, which you don't really need for machine learning.

mwambua|9 years ago

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.

jpau|9 years ago

From what starting position are you asking from; what is your current math background?

vayarajesh|9 years ago

I am familiar with Linear algebra and at most average understanding of graph theory. I know there is lot more math to cover for ML but I find it overwhelming to start

_qhtn|9 years ago

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...

austenallred|9 years ago

I can't thank you enough for this comment

sn9|9 years ago

MIT OCW Scholar has those subjects and more with HW, exams, and lecture notes and is intended for autodidacts.