Sunday, January 17, 2016

Data science

Earlier, I wrote about "big daddy" data. Up until now, I have not been looking closely, rather my approach has several motivations.

So, before proceeding, I need to catch up on the world, in this sense. It looks like a bubble just like the early days of artificial intelligence. A boot camp of a few days, even weeks, is enough to become what is called a "data scientist?"

Aside: In all of the blogs, you will find reference to entrapping enmesh-ments which seem to be growing daily. But, we'll get back to that.

Some pointers to material:
Aside: One of the big splits relates to the computer as the focus. That is, we live in a world where real people touch real things in order for the coddled set to languish about. Yet, it is the computer types who seem to drive things, many times relegating those who touch things to some lower-level class of being. The uppers ride a magic carpet born on the sweat of millions. ... Jumping ahead, so, then, the computer as the basis for a whole lot of mathematical finagling is reality? Much to discuss there. 

Aside: Numerics, and its bridging over trouble waters, does not alleviate the problems that are inherent with the artificial. No one seems to be interested. Why?  

Remarks: Modified: 01/18/2016

01/18/2016 -- Hotten'd the links. Also, will be introducing crass commercialism into the discussion. This ought not be the driver of our internet or of our knowledge repositories.

Saturday, January 9, 2016

Operational concerns

This blog will take an operational (many connotations) mode for awhile. I made some system changes the past couple of days. In doing so, one vendor changed my settings which I did not look at the time.

Shame on me. But, shame on these arses, too. Anyway, it got me to thinking about how all of these providers are stepping on our toes as they try to dance their way into our hearts. Look brothers and sisters, such behavior will no get no love from us, the beleaguered users.

Related to this are all of the pitfalls that keep arising. Great job on the internet DOD and all of the follow on developers. Way to go.

And so, truth engineering is crucial to safe computing and other things.

Remarks: Modified: 01/17/2016

01/17/2016 -- The "cloud" not only is muddy, it fosters storms. I noticed someone arguing that companies have their personal "cloud."

Monday, January 4, 2016

Summary, 2015

In 2015, there were 33 posts.

See Summary, 2014. The "All time" reads are the same as last year. Three of the "Last 30 days" reads are of this year's posts.

Top 5 posts 

Prior years:  201120122013, 2014, 02015, 2016, 2017 (missing), 2018.

See "4th December" in 2010 and "Last post for 2008" (for 7'oops7, this same post has been popular). 

Remarks: Modified: 12/30/2018

12/30/2018 -- Added Summary for 2016 and 2018.