gnaddel

Looks interesting!

The link to your paper seems to be down: http://hci.stanford.edu/publications/empath-chi-2016.pdf

The closest equivalent I can think of is scikit-learn [1], which also gives you a unified way of using many different algorithms. I wouldn't say the two are really equivalent but both are excellent and a joy to use. One major difference is that, as far as I know, caret is mainly a standardization wrapper for other R packages' functionality, while scikit uses its own implementations.

[1] http://scikit-learn.org/stable/

I have become extremely weary of buying Microsoft hardware products. I was (and am) very happy with my Surface Pro 2. Recently, my power supply broke after two years of use, perfectly fine in my book, it happens. However, Microsoft has stopped selling replacement parts after less than three years. I did not find any vendor in Germany that could still deliver. I got lucky and found _one_ seller in the UK. There are some third party copies of the adapter, but due to the proprietary connector they are rare and reviews are abysmal.

I think Julias adoption is hindered by the lack of a real Julia-IDE aimed at data analysis. R has R-Studio, Python has Spyder, both of which are excellent nowadays. Julia has Juno in principle, but setup has never worked for me on multiple machines. The Julia language has a lot to offer, but there is no convenient way for people to give it a try that is comparable to what they have grown to expect from competing languages.

I would not read this as questioning science but as the science-journalism equivalent of asking whether the 'mystery' can be 'solved' at all.

I don't think that Apple has a PR problem regarding privacy when compared with Google. Especially looking at the privacy adverse stance Microsoft has taken with Windows 10, Apple seems like the smallest privacy evil out there. I personally will be switching back to iOS with my next phone after using Android for three phone generations.

Julia: http://julialang.org/

(Typing is optional)

Are you talking about MBAs or M.A./M.Sc. degrees in related fields? Personally, I do not even consider MBAs to be much of "a thing" in Germany. Yes, there are some prestigious universities offering them (St. Gallen comes to mind) but many people still have not moved on to the Bologna System from the good old "Diplombetriebswirt" in their hearts, let alone MBAs.

Could you elaborate why it is inaccurate?

I had the same feeling, the website doesn't look ... done. However, I think it is nice to see that MS is launching its own initiative. The more, the marrier. I'm especially interested to see how their LDA variant performs.

Still, I hope they continue to make the documentation a bit more accessible. In example, the LightLDA documentation (http://www.dmtk.io/lightlda.html) gives no indication of the output I would get from this. Do I get all the matrices (word to topic, topic to doc) or just a list of top topics, or...?

Yes, mushrooms are sold in virtually every european supermarket and some, like chanterelles, are considered a delicacy. Collecting wild mushrooms is also quite popular in rural regions of Germany. However, please be sure to bring along a local when doing so. There are some poisonous look-alikes to edible mushrooms. Recently, a 16 year old refugee in Münster died because of this [1].

[1]: http://www.spiegel.de/gesundheit/diagnose/muenster-16-jaehri...

If you are referring to the third picture ("Gedächtniskirche"), this is intentional. The church is kept in this partially restored state as a monument against war.

Hi there, I have been wondering if the data collected by the band 2 can be exported in a sensible way to use the data for research. From what I have gathered there is no export functionality in the health app? Is this currently possible or planned?

Just my personal biased perspective: You are correct, there is no good definition of "Data Science". Just as any other buzzword, it is widely devoid of meaning but useful to convey a general idea to certain audiences. Regarding R vs. Python, I personally use Python to process my data up to the point where I can hand it over to R in a convenient df-esque shape and use R for stats and plotting. Even if I do not require R for stats, I still use ggplot2 for plotting, though I'd be happy to see Seaborn or Bokeh evolve to a point where they can rival it.