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Author | SHA1 | Date |
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Durgesh Patel | 85b2a9e933 | |
Cyrille Rossant | 4ded7538c1 | |
Duc Nguyen | 178dd173fe | |
Durgesh Patel | 8d4452ac21 |
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README.md
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README.md
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@ -319,6 +319,7 @@ A curated list of awesome mathematics resources.
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* [Immersive Linear Algebra](http://immersivemath.com/ila/index.html) - J. Ström, K. Åström, and T. Akenine-Möller
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* [Interactive Linear Algebra](https://textbooks.math.gatech.edu/ila/) - Dan Margalit and Joseph Rabinoff
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* [Linear Algebra, Infinite Dimensions, and Maple](https://people.math.gatech.edu/~herod/Hspace/Hspace.html) - James Herod
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* [MIT Linear Algebra](https://www.youtube.com/playlist?list=PL221E2BBF13BECF6C) -Gilbert Strang
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### Ring Theory
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@ -439,6 +440,7 @@ A curated list of awesome mathematics resources.
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* [Calculus Made Easy](http://calculusmadeeasy.org/) - Silvanus P. Thompson (1910)
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* [Elements of Differential and Integral Calculus](http://djm.cc/library/Elements_Differential_Integral_Calculus_Granville_edited_2.pdf) - William Anthony Granville (1911)
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* [Precalculus](https://stitz-zeager.com/szprecalculus07042013.pdf) - Carl Stitz, Jeff Zeager
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* [NPTEL Real Analysis](https://www.youtube.com/playlist?list=PLbMVogVj5nJSxFihV-ec4A3z_FOGPRCo-) - Prof. S.H. Kulkarni
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### Harmonic Analysis
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@ -517,6 +519,7 @@ A curated list of awesome mathematics resources.
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* [The Only Probability Cheatsheet You'll Ever Need](http://www.wzchen.com/probability-cheatsheet/) - William Chen
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* [An Introduction to Probability and Random Processes](http://www.ellerman.org/Davids-Stuff/Maths/Rota-Baclawski-Prob-Theory-79.pdf) - Gian-Carlo Rota, Kenneth Baclawski
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* [Foundations of Constructive Probability Theory](https://arxiv.org/pdf/1906.01803.pdf) - Yuen-Kwok Chan
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* [6.041 Probabilistic Systems Analysis and Applied Probability](https://www.youtube.com/playlist?list=PLUl4u3cNGP61MdtwGTqZA0MreSaDybji8) - John Tsitsiklis(MIT)
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### Statistics
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@ -537,6 +540,9 @@ A curated list of awesome mathematics resources.
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* [Seeing Theory](https://seeing-theory.brown.edu/) - Daniel Kunin, Jingru Guo, Tyler Dae Devlin, and Daniel Xiang
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* [Statistics Done Wrong](https://www.statisticsdonewrong.com/) - Alex Reinhart
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* [All of Statistics: A Concise Course in Statistical Inference](https://link.springer.com/book/10.1007/978-0-387-21736-9) - Larry Wasserman
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* [ Statistics for Applications](https://ocw.mit.edu/courses/18-650-statistics-for-applications-fall-2016/) -Prof. Philippe Rigollet
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* [Statistical Rethinking 2022](https://youtube.com/playlist?list=PLDcUM9US4XdMROZ57-OIRtIK0aOynbgZN) -Richard Mcelreath
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* [Statistics 110 (Probability)](https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6ht66KWxbzTIo) - Harvard university course taught by Joe Blitzstein
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### Statistical Learning
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@ -557,6 +563,9 @@ A curated list of awesome mathematics resources.
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* [Markov Chains and Mixing Times](http://pages.uoregon.edu/dlevin/MARKOV/markovmixing.pdf) - David A. Levin, Yuval Peres, Elizabeth L. Wilmer
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* [Convergence of Stochastic Processes](http://www.stat.yale.edu/~pollard/Books/1984book/pollard1984.pdf) - David Pollard
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### Calculus
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* [MIT Multivariate Calculus](https://www.youtube.com/playlist?list=PL4C4C8A7D06566F38) -Denix Auroux
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* [MIT 18.01 Single Variable Calculus](https://www.youtube.com/playlist?list=PLE2215608E2574180) -Prof. David Jerison
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## Numerical Analysis
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@ -564,7 +573,7 @@ A curated list of awesome mathematics resources.
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* [A Concise Introduction to Numerical Analysis](http://www.ima.umn.edu/~arnold/597.00-01/nabook.pdf) - Douglas N. Arnold (University of Minnesota)
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* [Numerical Analysis](http://people.cs.uchicago.edu/~ridg/newna/nalrs.pdf) - L. Ridgway Scott
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* [Lectures In Basic Computational Numerical Analysis](https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1000&context=math_textbooks) - J. M. McDonough (University of Kentucky)
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* [Advanced Numerical Methods and Their Applications to Industrial Problems: Adaptive Finite Element Methods](http://www.math.uni-bremen.de/~schmidt/SS04/YSU_Notes.pdf) - Alfred Schmidt, Arsen Narimanyan
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* [Advanced Numerical Methods and Their Applications to Industrial Problems: Adaptive Finite Element Methods](https://user.math.uni-bremen.de/schmi/SS04/YSU_Notes.pdf) - Alfred Schmidt, Arsen Narimanyan
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* [Numerical Analysis for Engineers](https://ece.uwaterloo.ca/~dwharder/nm/) - Douglas Wilhelm Harder
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@ -584,6 +593,8 @@ A curated list of awesome mathematics resources.
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* [Lecture Notes on Optimization](http://people.eecs.berkeley.edu/~varaiya/papers_ps.dir/NOO.pdf) - Pravin Varaiya
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* [Information Theory, Inference, and Learning Algorithms](http://www.inference.org.uk/mackay/itila/book.html) - David J. C. MacKay
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* [The Chaos Textbook: Mathematics in the age of the computer](https://hypertextbook.com/chaos/) - Glenn Elert
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* [Convex Optimization ](http://www.youtube.com/view_play_list?p=3940DD956CDF0622) - Professor Stephen Boyd(Stanford University)
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* [MIT 6.042J Mathematics for Computer Science](https://www.youtube.com/playlist?list=PLB7540DEDD482705B) -Instructor(s): Tom Leighton, Marten van Dijk
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## Mathematical Biology
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