Hello, I'm a computer science student at the University of Udine (Italy). I got my bachelor's degree (in computer science) in 2016 and I'm currently working towards my master's degree. My studies are focused on optimization algorithms and artificial intelligence.
Some time ago I heard about Google Summer of Code and I began reading about it. I thought it would be a really interesting opportunity, so I started learning more about the organizations which were involved in the 2017 GSoC and mlpack is one of them. I also briefly read the descriptions of the 2017 projects which were done by past students. The main reasons why I'm interested in mlpack are that C++ is the language which I used the most during the past few years (both for academic purposes and for personal projects), and artificial intelligence (machine learning in particular), together with optimization are the main topics of my master's degree. I have already read the ideas for GSoC 2018, and they seem interesting to me. In particular, particle swarm optimization, reinforcement learning, string processing, profiling caught my attention, but I would be interested in pretty much any other idea as well (among the ones listed in the page). I just wanted to ask if you could point me in the right direction in order to start thinking about what I could do for mlpack. Thank you, Luca Foschiani
_______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
