/sci/ - Science & Math » Thread #10864105

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Anonymous Sun 04 Aug 23:53:58 2019 No.10864105 View Reply Original Report

Quoted By: >>10864123 >>10864179 >>10864499

Gonna be starting a course on linear algebra and differential equations soon. I got As in each calculus class. I have a week to warm up. What do you guys recommend doing so I can go into class ready and with a certain amount of competency.

Anonymous

Anonymous Mon 05 Aug 2019 00:02:50 No.10864123 Report

Quoted By: >>10864334

>>10864105
- Linear homogeneous differential equations with constant coefficients.
- Systems of linear homogeneous differential equations with constant coefficients.
- Method of Frobenius (for equations with variable coefficients)

Anonymous

Anonymous Mon 05 Aug 2019 00:18:48 No.10864179 Report

Quoted By: >>10864334

>>10864105
>I have a week to warm up. What do you guys recommend doing so I can go into class ready and with a certain amount of competency.
download the textbook and start reading + doing exercises

Anonymous

Anonymous Mon 05 Aug 2019 01:21:26 No.10864334 Report

Quoted By: >>10864357 >>10864366

>>10864179
>>10864123
Thank you. Also, how can I learn this in such a way that will benefit me in applying it to CS stuff? I am a EE/CS double major and I want to study machine learning and I know you need a solid grasp on linear algebra

Anonymous

Anonymous Mon 05 Aug 2019 01:32:05 No.10864357 Report

Quoted By: >>10864366 >>10864552

>>10864334
Diff. E. Q. is absolutely an important tool to use in E.E.; it's used to describe the whole subject actually. But I'm unsure about Machine learning. That's a little past my time. I did some searching on the internet and found this article.

https://www.quora.com/Are-Differential-Equations-relevant-to-Machine-Learning

Not sure if it helps though. I would think statistics, combinatorics and graph theory might apply to machine learning better than diff. e. q. You should able to take courses in those after Linear Algebra.

Anonymous

Anonymous Mon 05 Aug 2019 01:37:33 No.10864366 Report

Quoted By:

>>10864334
>>10864357
Yes, as I suspected, Graph theory is essential to machine learning.
https://towardsdatascience.com/graph-theory-and-deep-learning-know-hows-6556b0e9891b

Anonymous

Anonymous Mon 05 Aug 2019 02:17:30 No.10864499 Report

Quoted By:

>>10864105
Good for you anon. It warms my heart to see students do well in mathematics.

Anonymous

Anonymous Mon 05 Aug 2019 02:32:33 No.10864552 Report

Quoted By:

>>10864357
Yeah I know that diff eq is important to EE. I want to get my masters and specialize in RF. I'm told that diff eq, stats and vector calc is important there. Luckily two of those are my favorite kinds of math.

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