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we recommend that students meet the following prerequisites:Mastery of intro-level algebra. You should be comfortable with variables and coefficients, linear eq
by blueside 9y ago
we recommend that students meet the following prerequisites:Mastery of intro-level algebra. You should be comfortable with variables and coefficients, linear equations, graphs of functions, and histograms
Any book suggestions to getting up to speed in this area?
- ropable 9y agoKhan Academy probably has this covered.
- toomuchtodo 9y agoA shame Google doesn’t just link to the Khan Academy course.
- earth2mars 9y agonot true. they do have khan academy link where applicable. for example for the algebra ones. check below link https://developers.google.com/machine-learning/crash-course/prereqs-and-prework#prerequisites https://developers.google.com/machine-learning/crash-course/...
- megaman22 9y agoI always liked the Saxon books[1], since they involved so much spaced repetition if you did the problem sets that it beat the symbolic manipulation into your long-term memory. [1] http://amzn.to/2FH3bXL http://amzn.to/2FH3bXL
- deleted 9y ago[deleted]
- jpamata 9y agoIf you're looking for books, have a look at Schaum's Outline of Precalculus [0]. Khan Academy [1] is also good and there's this MOOC on coursera called Data Science Math Skills [2]. [0] https://www.amazon.com/Schaums-Outline-Precalculus-3rd-Problems/dp/0071795596 https://www.amazon.com/Schaums-Outline-Precalculus-3rd-Probl... [1] https://www.khanacademy.org/math https://www.khanacademy.org/math [2] https://www.coursera.org/learn/datasciencemathskills https://www.coursera.org/learn/datasciencemathskills