189 karma · joined June 30, 2016
This is exactly how I felt growing up. It wasn't until actually looking at the practical applications of math that I got it. Doing equations for the sake of it without any actual context constantly frustrated me to no end and made me hate math and physics because it made me feel incompetent and stupid, it's been a struggle getting rid of this feeling even to date.
Thanks in advance.
Any recommended study path?.
Thanks in advance.
Talk to people, even people you think you have absolutely nothing in common with (specially people from different cultural backgrounds than yours, if you have access to any) and ask them about themselves. Be curious and really try to be interested in what they have to say and try to get to know them as people without being judgemental (this was really hard for me at times because I tend to be too black/white). I started at work (because I don't socialize outside of work much) and I literally talked to anyone who would be open to in the office. I struggled at first because I wanted to be listened to too, I wanted to express my points of view, etc but I held back and asked people about themselves instead, after a while people will be curious to hear about you.
Talk to enough people and soon everybody will know who you are, you will be known as a great listener and everyone will want to talk to you, confide in you. Try and learn from what other people have to say, their stories, their personalities, what drives them. This helped me immensely in developing a charisma, knowing what makes other people tic gave me a framework that enabled me to adjust my behavior accordingly.
Anyway hope this helps.
I'm 100% with you on this. I've been saying this since VR became mainstream, I'm dying to start something in the e-learning space that takes advantage of VR/Augmented Reality but have no idea where to start.
Anyway the thing that stumped me was identifying/creating the "features" for rhythmic & melodic patterns, eventually I realized that I was way out of my league and had to drop it.
Later on I found that someone else was already working on this: http://benanne.github.io/2014/08/05/spotify-cnns.html
For instance I've always wanted to have a music recommendation engine/app that instead of using collaborative filtering uses some kind of machine learning or deep learning algorithm(s) to identify lyric sentiment, complexity and melodic/rhythmic patterns to recommend me music based on that (across different genres). It turns out that something that seemed straightforward (I really thought I could tackle this after playing around with tensorflow and machine learning tutorials & MOCS) actually requires a lot of specialized/intimate knowledge about how these algorithms work and the theory behind them, I would need to spend quite some time studying (and understanding) before I can even begin coding this as a side project for instance.
Are you open to collaborate? Maybe if we put our heads together we could think of something.