Will be interesting to see how Apple plans to position this against existing ML solutions with easy to use Python api's like scikit-learn, keras, etc.
I used it while taking the University of Washington ML courses on Coursera and really liked how easy it was to use, so I was bummed when Apple bought them and it looked like it was just going to disappear.
Actually, don't tell me. Just sell me one.
I mean, do people complain that DeepMind doesn't run on a Chromebook?
I'm sorry but your argument seems totally misplaced. I'd love to hear a case for it though – Apple hardware is very powerful and does a lot, and I wish it did more – I'm sure we all do, but why are we letting that distract from them contributing to open source and releasing great tools?
There is an electrical issue which cannot be fixed easily because it is now out of warranty. I get continuously mildly shocked most times i touch the keyboard. I still use it at home with a docked setup (external keyboard, mouse), but it is a total no-no when on-the-go. Docked, it is great -- can even connect three monitors (2 via DP and 1 via HDMI).
The electrical issue started as a mild annoyance manifesting as a slight tickle in the fingers and some vibration, but when using for many hours, my pinky started getting paralyzed and would stay that way until the weekends when I didnt use the laptop. At first I though it was my pillow, sleep posture, or something. Only later did I realize it was long term mild electrocution adding up...
I tried all the electrical re-baselines at the apple store but the next set of fixes were so expensive might as well buy a Razer, which I did...
based on the documentation, most definitely running it using WSL on Windows 10.
if your not familiar with graphlab, check the coursera link: https://www.coursera.org/specializations/machine-learning
In the 1990s in college, it was worse, I had to sometimes write some data structures, etc because there wasnt a good standard utilities package.
I'm pretty tired with all the grunt work I need to do these days as a machine learning practitioner. I'd love some abstraction or at least automation of the rote work. Keras is great at some of this, but i'd love a lot more of it.
I'm VERY INTERESTED in hearing everyone's ideas on this, this is a big pain point for me, to the extent that i'm trying to actually build a solution around it.
If the second case, have you ever done that task without it?
Because while there are pain points (eg, keeping track of the shape of your data) there seems to be a lot more critical problems to fix than that.
I think this won't work well - blindly using a complex tool that has many hyperparameters you don't care about.