Dear Sir, I am Ahmed El-Hinidy, a Computer Engineering student at Cairo University.
I am very interested in GSoC, and of working on Shogun Toolbox and being part of its community. I am interested in working in the following project: "A unified interface for Machine Learning & a framework for plugin-based architecture" I want to inquire about somethings if I may: 1- Required technical knowledge: I am have experience with c++ due to studying it alone and using it on several projects during university. I am also self-studying machine learning and data science through 2 tracks right now: I. Stanford's Machine Learning course on Coursera (self paced): https://www.coursera.org/learn/machine-learning And I will finish it soon II. Johns Hopkins University's Data Science Specialization on Coursera (Self Paced): https://www.coursera.org/specializations/jhu-data-science I also have knowledge of Software Engineering (currently enrolled in a SW course at my university) So is this knowledge enough and suitable that I can begin to work on the project and proceed on learning while working? And if not, could you please suggest a source or a topic that I can study to better prepare myself. 2- Considering the technicalities of the project: First, I understand that a unified interface is needed to be created to be create a plugin architecture, but is it required to change the architecture of the whole framework into a plugin based one, or just some parts in order to facilitate extending it in the future? Second, Is there any example of Shogun code before and after being changed to a plugin architecture so I can learn more about the difference and what should be achieved (I viewed the references on the project's page), or will this be the first time this is done? Sorry for the long message, and thanks for your precious time. Sincerely, Ahmed Hamada El-Hinidy ********************************************************** Student - Cairo University - Faculty of Engineering Computer and Communications Engineering [email protected] +201227417171
