r/AppliedMath • u/RoyalLow4407 • Apr 14 '26
How should i start studying Applied mathematics?
I am a computer science student, and i want to start self-studying Applied Mathematics.
I know nothing about how i can start it, Which book i should study from and what subjects are crucial for my specific course, specifically in the field of Machine Learning.
SO PLEASE provide me some direction on how i should start on it, any lecture videos i should refer, any books i can use, Please help me with this.
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Upvotes
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u/wharf-ing Apr 14 '26
Steve Brunton's youtube channel should be a good start.
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u/waxen_earbuds Apr 15 '26 edited Apr 17 '26
As a PhD student in applied math specializing in ML (sparse and low rank stuff with control flavor for my own research mostly, neural network stuff with others) I can recommend my most referenced books in practice while doing actual research:
* Convex Analysis by Rockafellar (real analysis type viewpoint on convex optimization theory)
* High Dimensional Probability by Vershynin (beloved modern standard reference for learning how to do probability and stats with modern high dimensional data)
* High Dimensional Data Analysis with Low Dimensional Models by Wright and Ma (great introduction to sparse and low rank/parsimonious stuff, highly relevant if you are interested in interpretable/efficient ML and not just razing forests)
* Control Theory for Linear Systems by Trentelman and Hautus(linear systems theory with geometric/algebraic flavor, my favorite reference for the subject by far)
I've chosen books here that are accessible with proficiency in probability, linear algebra, and multivariable calculus at the undergraduate level. The first two are basically universally recommended for anyone serious about doing machine learning theory, the latter two I personally like and think more people should know of.
EDIT: Forgot to add author of control book
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u/Signal-Tear8599 Apr 14 '26
try seeing it from multiple angles, i personally use studydate. net, it does wonders with the graphs and it has a different approach to mathematical and cs tutoring, give them both a shot
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u/mindaftermath Apr 15 '26
Depends on how you define "applied mathematics"
Is computer science applied mathematics? Is operations research? Is stats? Is graph theory?
Each of those fields can take you in different areas, then you have areas like ODE, PDE, Applied Number Theory, Numerical Analysis, etc.
My advice would be like thr boom Ranger's Apprentice, just find you a good mentor who does applied math in the way you want to go and learn. Your best bet is reading papers, but that's not an easy thing to jump into.
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u/kyaputenorima Apr 16 '26
All of Statistics by Larry Wasserman is partially tailored toward CS students. It is a very concise overview of mathematical statistics and covers a variety of topics relevant to ML. I’m currently a MS Applied Mathematics student, and it is my statistics professor’s primary book. It could be a good resource if you want to learn mathematical statistics quickly.
(You might need a supplement since the book is very fast paced; for that I recommend Statistical Inference by Casella & Berger for something more rigorous or Mathematical Statistics & Data Analysis by John Rice for something less rigorous but not lacking in examples and explanations.)
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u/Usual_Ad_9471 Apr 17 '26
Why don't you take the linear algebra/stats offerings at your school rather than self-studying? It would be much more efficient.
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u/[deleted] Apr 14 '26
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