Welcome, this page is devoted to General Algorithms, Machine Learning, and 3D-modeling.

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In my academic experience, my research involved developing algorithms concerning very impractical things like Partial Differential Equations. In some cases, developing new algorithms that can beat existing methods is hard and not worth pursuing.

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Here I will present some useful algorithms. Algorithms that you don't necessarily learn when studying Mathematics, Applied Mathematics, or doing Mathematics research. For a person with a math degree, it's important to learn how to use these algorithms properly, since your job options outside of teaching or academia will probably include some coding (or working at low paying jobs that require only a high school diploma). I would advise the reader who is currently studying mathematics to change your major to something more practical or be prepared to set aside a significant amount of time outside of mathematics to learn some of these more practical skills. Try to do projects that are actually of interest to the wider population. An example of something that is not very interesting is developing an arcane proof that only very few people in the world can understand. It could be difficult to get an industry job or pass the easy/early-stage technical interviews with those impractical skillsets that you developed during your Ph.D. and postdoc years. 

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Thus, the main goal of this page is to show the reader some practical use of data structures and algorithms and machine learning applications that industry jobs are highly interesting in. Also, you might also see some algorithms related to 3d-modeling such as in Lidar and Robotics.

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