markdown Engg。,数学,科学资源
Posted
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了markdown Engg。,数学,科学资源相关的知识,希望对你有一定的参考价值。
### Physics and Cosmology
* Leonard Susskind's lectures on various topics including cosmology: http://theoreticalminimum.com/courses
### Robotics, estimation, control, filtering
* Mike Mull: Forecasting with Kalman Filter: https://www.youtube.com/watch?v=GmSXhmbv5Zg
* Mike Mull: Notebooks (for above lecture & more): https://github.com/mikemull/Notebooks
### Mathematics
#### Online resources
##### General/ Multidisciplinary:
* Online Mathematics Textbooks: http://people.math.gatech.edu/%7Ecain/textbooks/onlinebooks.html
* U Texas notes (very good, solutions etc.) on Stochastic Processes, Continuous Time Finance & Theory of Probability: https://www.ma.utexas.edu/users/gordanz/lecture_notes_page.html
##### Linear Algebra:
* FastAI Computational Linear Algebra: https://github.com/fastai/numerical-linear-algebra/blob/master/README.md
* Old & new matrix algebra useful for statistics: https://tminka.github.io/papers/matrix/
##### Probability:
* Probability, Mathematical Statistics and Stochastic Processes: http://www.randomservices.org/random/index.html
##### Calculus/ODEs/PDEs:
* Trefethen - Finite Difference and Spectral Methods for ODEs and PDEs: http://people.maths.ox.ac.uk/trefethen/pdetext.html
* 3Blue1Brown (Youtube): Essence of Calculus: https://www.youtube.com/playlist?list=PLZHQObOWTQDMsr9K-rj53DwVRMYO3t5Yr
* PDE for Finance, Courant Institute: https://www.math.nyu.edu/faculty/kohn/pde_finance.html
* Differential Equations in Data Science (python, numpy): http://nbviewer.jupyter.org/github/URXtech/techblog/blob/master/continuousTimeMarkovChain/markovChain.ipynb
##### Numerical Methods (with C++)
* http://www.bragitoff.com/2015/11/numerical-analysis-c-programs-for-various-techniques/
* https://www.youtube.com/playlist?list=PLUhYFZgYOn8dJkyQsdZBNq0DJ2L5cw31o
##### Stochastic Processes
### Computer Science
#### Courses
##### CMU:
* 15-251 Great Ideas in Theoretical Computer Science: http://www.cs.cmu.edu/~15251/notes.html
* 15-451 Algorithms: https://www.cs.cmu.edu/~15451/
* 15-496 Computer Science Theory for the Information Age: https://www.cs.cmu.edu/~venkatg/teaching/CStheory-infoage/
##### Stanford:
* Stanford CS224W: Analysis of Networks: http://web.stanford.edu/class/cs224w/
以上是关于markdown Engg。,数学,科学资源的主要内容,如果未能解决你的问题,请参考以下文章
ENGG1110 — Problem Solving
提升机器学习数学基础,这7本书一定要读-附pdf资源
ENGG1110 — Problem Solving by Programming
网站上科学图形的最新技术是啥?
数学小课堂:数学和自然科学的关系(数学方法,让自然科学变成科学体系。)
markdown数学公式语法