sounds great, but is Nodejs really becoming slower? Were they just using it wrong?
.NET Core does sound attractive to an old .NET dev like me (I really like C#) but I can't see that an apples to apples comparison across the board would result in such a wild difference for all applications, am I wrong?
Most of my apps spend the majority of the time waiting for persistent storage or network. I'd prefer to deploy on a 8-socket, 192-core, 12 TB RAM monster than to rewrite everything in C#. It'd probably be cheaper too.
The free version allows installation/use on two devices - phone and chrome for me.
It has two-factor authentication which is a plus.
Some folks don't like the new web ui, it doesn't bother me enough to jump ship, because while I use it regularly (the mobile app) I don't have complex requirements, just note taking, tagging. I can do that whenever inspiration strikes me and then come back and flesh out the idea when I'm at my laptop.
I started this course to learn the maths, technical terms, approaches and 'philosophy' of machine learning. I'd highly recommend it even with the stats knowledge you have, you'll still get a lot out of it. I wanted to be able to understand articles about deep learning and this course allowed me to do that.
I recommend watching the videos at a higher speed at least, and you can skip ahead if you are not doing the course to get a validated grade, although I suggest working through the whole choose.
I've already completed the Coursera Machine Learning course and now I'm starting to get my head around Deep Learning using the nVidia course - mostly because I bought a Jetson TK1. This is all to complete a project that will also involve RabbitMQ, Nodejs, and Docker.
Other than that I'm determined to gain a certificate in French Language (although I have been slowly learning for several years now) and get my driving licence :)
It helps that I have stuck with each technical topic rather than trying to do them all at once or skip ahead. Getting to use some of the technologies I need for my project in my day job helps too.
I also just finished the Coursera ML course, now I'm doing some stats and data science classes on there, and the Google deep learning class at Udacity.
I kinda think that the rise of MOOCs and "on demand education" is the best thing since sliced bread. :-)
The Stanford / Andrew Ng one. I thought it was pretty solid.
It's apparently not quite as rigorous as the actual cs229 course, but those lectures, problem sets, etc. are also online if you want to supplement the Coursera stuff with something more math heavy and intense.
As you are also artistic, start hanging around with the 'maker' community, they welcome people with coding skills. You'll probably get burned by hangers-on a few times but gravitate to the folks who are dedicated and can deliver.
The most interesting person I know couldn't give you a job description. He teaches kids, builds giant robot sculptures and creates science museums.
Just hang out with interesting, creative, passionate people and you will discover what you like to do.
