Support Vector Machines

<3

Really enjoying the Stanford Machine Learning class.
Now, how to get my job to need SVM's?

-JD

Hadoop

I'm becoming less and less enchanted with Hadoop as time goes by.
The whole ecosystem of Hadoop software seems half baked. There's one good core idea: HDFS, and distributed computation. Then there is a raft of marginal software associated with it.

Hive: On the plus side, you get some SQL, and adhoc query goodness. On the minus side, it's a marginal subset of SQL, with bugs.
HBase: I haven't heard anyone say this is baked. In fact most people get bit by something or other.
Cascading: A somewhat useful abstraction, that (while not too buggy) doesn't quite do it for me. I'm writing way too much code to do simple things. I have to go out of my way to not lose the meta data ( Fields/Typing ).

I'm hoping that Cliff Click's 0xData doesn't completely suck.
http://0xdata.com/

In my dream world Postgres gets a few new features, and I never have to think about this again.

My next green house

My first green house/cold frame is a bit too heavy and industrial.

Here is the general plan for my next version:

http://www.safdar.net/shabbir/2009/01/how-to-build-a-cold-frame-to-start-your-seedlings.html

I like the use of Lexan (which will be way lighter than the glass version I have now).

He also needs to put a 45 degree(or so) top to get more light transfer.

But the L brackets should make assembly way simpler, cheaper, faster than what I have now.

-JD

Spring, my old friend

http://highscalability.com/blog/2012/5/2/12-ways-to-increase-throughput-by-32x-and-reduce-latency-by.html

Keep call stacks reasonably small.  Still more work to do here.  If you are crazy enough to use Spring, then check out your call stacks to see what I mean!  The garbage collector has to walk them finding reachable objects.

to read:

http://highlyscalable.wordpress.com/2012/05/01/probabilistic-structures-web-analytics-data-mining/