Machine Learning – A Primer

If you’ve been following this blog you’ll know that I’ve started a new role that requires me to build a deep learning system and I’ve been catching up on the 10+ years of research since I completed my PhD.  With a background in computing and mathematics I jumped straight in to what I thought would be skimming through the literature.  I soon realised that it would be better all round to jump back to first principles rather than be constrained with the methods I had learned over a decade ago.

So, I found a lot of universities who had put their machine learning courses online and have decided to work through  what’s out there as if I was an undergraduate and then use my experience to build on top of that.  I don’t want to miss an advantage because I wasn’t aware of it.

So I picked up two key tutorials from different Professors: Continue reading Machine Learning – A Primer