Not an expert by any means, just sharing what little I know about it ;)
881 karma · joined October 21, 2012
Not an expert by any means, just sharing what little I know about it ;)
His latest record is due out in November and from what I've heard so far it's even crazier than anything past, but still has the OPN sound even though the medium appears to be completely different.
EDIT: I actually find it hard to program to Hecker. There are certain parts of Ravedeath, Virgins, and Radio Amor, (among others!) where I am completely distracted by soundscapes!
I mentioned some of my current favorite artists in another post, but try Oneohtrix Point Never (Daniel Lopatin) or Tim Hecker, these guys are doing crazy things today. Honestly, I was a Zep fan, still am a Zep fan and think that there is no comparison to Zep. But OPN and Hecker will blow you away much like Zep can blow you away, if you give them a chance. Just my opinion of course ;)
I don't know, I don't know you at all, but explore, get out of your comfort zone and give music a chance.
So a little about myself, maybe 20 years ago I couldn't imagine loving music that didn't have lyrics. At that time I thought that having words was important, sort of like poetry. Don't get me wrong, I still enjoy lyrics, but lately I've discovered more experimental music, ambient music. Artists like Oneohtrix Point Never and Tim Hecker. Of course Boards of Canada which are probably better known than either Hecker or OPN (though OPN recently toured with NiN and Sound Garden, go figure!).
Point is, if you enjoy what you enjoyed in the past, go for it. If you're lamenting that music today "ain't what it used to be", you may need to expand your horizons a bit, there is good shit out there! Give it a try!
I really enjoyed the book, it took a modern approach to R using many of the newer packages (dplyr for instance) and ggplot and combined them into a very nice introduction to R with labs, etc. Well worth checking out.
https://lagunita.stanford.edu/courses/HumanitiesandScience/S...
So let's turn this around, how would you like to see builds become easier?
ISL is an excellent, free book, introducing you to ML, you can go deeper, but, to me this is where I wish I'd started. I am taking the Data Science track at Coursera (on Practical Machine Learning now) and I am kicking myself that I didn't start with ISL instead.
Now, I know you specifically asked about Python, but the concepts are bigger than the implementation. All of these techniques are available in Python's ML stack, scikit-learn, NumPy, pandas, etc. I don't know of the equivalent of ISL for Python, but if you learn the concepts and you're a programmer of any worth, you will be able to move from R to Python. Maybe take/read ISL, but do the labs in Python, that might be a fun way to go.
Lastly, to go along with ISL, "Elements of Statistical Learning" also by Hastie et al is available for free to dive deeper [3]
[1] -- http://www-bcf.usc.edu/~gareth/ISL/
[2] -- https://lagunita.stanford.edu/courses/HumanitiesandScience/S...
The best way to learn ES is to set yourself up with a scripting language (python, ruby, etc.) and prototype everything, then apply what you learned to your language of chocie (i.e. Java if the scripting language isn't your language of choice).
Ethernet Port: Don't need
Optical Drive: Don't need, but took my old one out to make room for a hard drive in my previous MBP and put it in a case so I have it if I need it. Haven't actually used it since (about two years ago).
17" was always too big for me to lug around, always preferred the 15" (and always upgraded display to get more resolution which is not needed with retina). For me 15" is the right combination of screen real-estate and size.
And I actually appreciate the slimmer design and lighter profile. It's noticeable over my almost 5 year old MBP that I'm upgrading from.
My only lament is that I wish everything wasn't soldered in so I could replace/upgrade it myself, but that's not just an Apple problem, most laptops are going that way in the name of decreasing size.
I'm pretty happy with this new kit actually, but I've only used it for a few days thus far.
Ugh, yes, sorry about that. I meant that they are more cache friendly.
Not to disagree with anything you've said and only to back up what I was trying to get at is this SO answer:
http://stackoverflow.com/questions/647537/b-tree-faster-than...
The part I'm talking about is:
Also, unless you play nasty allocation tricks with the red-
black trees, it seems reasonable to conjecture that B-trees
have better caching behavior (it accesses an array, not
pointers strewn about all over the place, and has less
allocation overhead increasing memory locality even more),
which might help it in the speed race.
That's not exactly the reference I was thinking of, but it says what I remember about it.Again, not taking away from what you're saying and not disagreeing with you in any way, more backing up what I originally said ;)
https://news.ycombinator.com/item?id=4317545
https://news.ycombinator.com/item?id=7243568
When I read this I immediately recognized it as a PDF that I have in GoodReader (where I store all my technical PDFs). So I'm curious if it will start a good conversation about b-trees this time :)
To get the conversation started, a couple of years ago, I decided to write a b-tree data structure to refresh my skills a bit. I wrote it in C since I've been doing a lot of Java the last 10 years or so. I only got as far as an in-memory b-tree and had started working on getting it stored to disk before I abandoned the project (think I was working on it during Christmas holidays and the holiday ended).
I subsequently read that in-memory b-trees can actually outperform other tree data structures like rb-trees due to cache coherency. I never bothered to performance test my b-tree vs. an rb-tree I also wrote for fun.
Anyway, that's my story about b-trees!
But seriously just read the whole page, this is like a
bear hug from a friend I didn't knew I had.
That made me laugh, thanks for that :)But, aside from that, when I went to youtube to watch the video, the ad I had to watch was this:
https://www.youtube.com/watch?v=HYhdbxj-yoI
First time I watched a youtube ad all the way through :p
I just love watching them use their imaginations using the generic builder pieces (love it when they come to me "Daddy, look what I built, it's a ..."), but we also have sit-down "daddy build time" where we work on the harder kits (which are kept in a special place and not mixed in with their own legos). We also do LEGO WeDo robots together as well.
Awesome toys for adults, kids, and adults to interact with kids!
EDIT: I just remembered something important about my use and might be why that you say it wasn't good before 19. I use MATE mostly because 18's Gnome3 was really bad. I still don't like Gnome3 and stick with MATE. Gnome3 is just too slow for me and some of the workflows get in my way.
Also with this release, we return to our traditional six-month cadence —
we’ll see you back here sometime around Halloween!
Nice. Guess I'll be upgrading soon!My goal, when starting up again, is to brew English style real-ales, cask-conditioned and everything. There is nowhere around where I live (Minneapolis, MN) that I can get anything like the real thing. I love when I have the opportunity to go to the UK and try the good, local (not the big breweries like Fuller's, I'm talking smaller breweries like Hogsback or even smaller) brews that are kept well by knowing pub-keeps.
Thus, the government takes the position that the metadata
collected – a vast amount of which does not contain
directly “relevant” information, as the government
concedes – are nevertheless “relevant” because they may
allow the NSA, at some unknown time in the future,
utilizing its ability to sift through the trove of
irrelevant data it has collected up to that point,
to identify information that is relevant.
Just dripping with hubris! I am just gobsmacked at the audacity of such a claim. Agreed! Much of the "problem" with P-values comes from
them being expected to do too much; they aren't (for
example) indicators of effect size or final proof/disproof
of an effect's reality. And careful attention to the
P-value can't overcome problems at the earlier steps you
lay out here. I would differ in one spot, though: a
P-value should not be "the last of these [inferential]
steps" but rather closer to the beginning of critical
thought! (More about all this here: http://wp.me/p5x2kS-Y.)
I like the "p-value should be the beginning of critical though", I'm going to remember that one.