This is pretty cool but lower-tech than i was expecting when i saw the link. I went by their loft a few times in 2008 or 2009 but haven't followed them since. I think Makani is a sister company.

http://www.google.com/makani/about/

There's also other companies working on e.g. computerized winches that can react in hunderdths of a second, if I remember correctly

http://inhabitat.com/power-your-boat-with-kites-wind-power-b...

They probably don't have to say that stores are closing everywhere. Every week there's news about possible store closings. This week it's Staples and Safeway, last week it was Guitar Center, before, Pennys, Best Buy, Disney Store etc.

I have mixed feelings about that. On the one hand, shopping in a physical store location is mostly a terrible experience these days and I greatly prefer to shop online. But on the other, these big box stores have long been the providers of many a teen's summer job or somebody's second income or just something to keep someone afloat between "real" jobs, so I hate to see that source disappear.

You could look at the appendixes in texts by Bishop, MacKay, Barber and Rasmussen/Williams to see what they expect (and they expect a pretty thorough understanding. The last 3 are freely available content

http://www.inference.phy.cam.ac.uk/itila/book.html

http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf

http://www.gaussianprocess.org/gpml/chapters/RW.pdf

Also, an excellent list of ML resources: http://www.reddit.com/r/MachineLearning/comments/1jeawf/mach...

Here's some things with more substance (I don't think the blog author is doing any SEO machinations, but there's just not much to learn from his last few posts. Essentially he's written Data Science advice similar to many other authors, but he's substituted the words "Machine Learning"

I could dig up other ML gotchas/guidelines posts, need to dig thru bookmarks)

http://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf

http://www.inf.ed.ac.uk/teaching/courses/dme/html/datasets04... (read Challenges in each dataset)

http://alpinenow.com/blog/machine-learning-is-not-black-box-...

http://research.microsoft.com/en-us/um/people/minka/papers/n...

If you spent a few days in (central California belt of) Stockton, Modesto or Fresno looking for a job, you might learn some empathy

There are ~2,500 institutions in the U.S granting bachelors degrees, and you're happy to make sweeping generalizations about all of them.

There's lots of case studies on akka in production, and people using are generally happy but also honest about bottlenecks they hit (more than a few thousand messages in message box etc

http://www.addthis.com/blog/2013/04/16/building-a-distribute...

http://marakana.com/s/akka_hammer_scala_nails,1129/index.htm...

http://corp.klout.com/blog/2012/10/scaling-the-klout-api-wit...

http://blog.kreuzverweis.com/uncategorized/moving-from-osgi-...

Yes, but the silver lining is that you'll open your thesaurus and learn words like

"jeremiad"

"screed"

"phillippic"

"tirade"

MOC is a strong advocate for scala and clojure, so I figure he's ok

Hmm, i should read this book, I probably have a different perspective. I worked in the banking group at one of the 2 major rating agencies, then structured some large ABS transactions at Merrill Lynch and at one of the largest issuers, but haven't worked in finance for a while