Life Lessons from Machine Learning

Originally posted on Outlook Zen:

What comes to mind when you hear the term “Machine Learning”? A bunch of programmers hunched over their computers in a dark room, working on something completely virtual & divorced from reality? A group of scientists creating a Frankenstein monster that has no resemblance to us whatsoever?

It may certainly seem that way, but you’d be wrong. The accomplishments of Machine Learning (Self-driving cars, human handwriting parsing, IBM Watson) are certainly very technological in nature. But in truth, Machine Learning is equal parts Art and Philosophy, incorporating deep Epistemological insights in order to better make sense of the world. Machine Learning is in essence, a simplified & structured version of what goes on in our minds every single day, in our quest for knowledge.

If this “quest for knowledge” sounds like a bunch of mumbo jumbo and you’re wondering how it’s actually relevant to us…

View original 1,973 more words

Lint For Math

Originally posted on Gödel's Lost Letter and P=NP:

825-SteveJohnson

Stephen Johnson is one of the world’s top programmers. Top programmers are inherently lazy: they prefer to build tools rather than write code. This led Steve to create some of great software tools that made UNIX so powerful, especially in the “early days.” These included the parser generator named for “Yet Another Compiler Compiler.”

Today I (Dick) want to talk about another of his tools, called . Not an acronym, it really means lint.

Steve was also famous for this saying about an operating system environment for IBM mainframes named TSO which some of us were unlucky enough to need to use:

Using TSO is like kicking a dead whale down the beach.

Hector Garcia-Molina told me a story about using TSO at Princeton years before I arrived there. One day he wrote a program that was submitted to the mainframe. While Hector was waiting for it to run he…

View original 742 more words

Marital Egalitarianism Is Bad For Your Sex Life

Originally posted on Chateau Heartiste:

From an American Sociological Review research paper, 💋SCIENTISTS💋 (as opposed to feminist “””scientists”””) discover that egalitarian marriages — ones where in practice husbands shoulder a significant amount of the household chores traditionally the province of wives — are arid, sexless wastelands.

This article began by noting that American marriages are more egalitarian today than they were in the past, but scholars have found it difficult to offer a clear interpretation of how egalitarianism has changed the nature of marriage itself. One broad interpretation of egalitarianism is that couples exchange resources across various domains. Moves toward more equality in one area, such as earnings, might thus induce more equal distributions in other areas, like housework, a suggestion that has certainly received extensive investigation. In this article, we asked whether men and women use housework and sex as resources for exchange, or whether other logics govern sexual frequency within marriage.

Following…

View original 835 more words

DevOps Is Bullshit: Why One Programmer Doesn’t Do It Anymore

Originally posted on jjmojojjmojo: In Effect:

I’ve always been handy with hardware. I was one of “those kids” you hear about that keeps taking things apart just to see how they work – and driving their parents nuts in the process. When I was a teenager, I toyed with programming but didn’t get serious with it until I decided I wanted to get into graphic design. I found out that you don’t have to write HTML yourself, you can use programming to do it for you!

But I never stopped tinkering with hardware and systems. I used Linux and BSD on my desktop for years, built my LAMP stacks from source, and simulated the server environment when I couldn’t – when I used windows for work, and when I eventually adopted Apple as my primary platform, I first started with cross-compiled versions of the components, and eventually got into virtualization.

In the early days (maybe 10…

View original 2,840 more words

Judgment 16.12

Originally posted on Pact:

Last Chapter                                                                       Next Chapter

“Buy me time!” Rose called out.

Easier said than done.

The others were okay, though battered, bruised, and at least one bad injury.  They were standing closer to where the dragon had been impaled, and many of the blades were in their way, forcing them to very slowly extricate themselves, out of fear of dying to a simple slip or fall.

In short, it was Mags, Paige, and Peter on one side.  Buttsack, the Welder and the Nurse were there as well, though the goblin had been gouged by the blade, the Nurse injured in the prior encounter with the dragon.

Ms. Lewis, the possessed lawyer with two deep wounds in his chest…

View original 4,155 more words

Comment Of The Week: The Danger Of The Traumatized Woman

Originally posted on Chateau Heartiste:

How is a wounded woman like a wounded animal? PA explains as he hoists the COTW trophy:

A nasty form of red pill involves thoughts of how to act when your woman has been through great trauma, rape or otherwise. A wounded human being is in a shitload of pain, in such cases psychic pain.

They say that you shouldn’t try to comfort a beloved dog that was injured by a car because its pain can cause it to bite you. External-source duress, usually financial, can turn a wife into a bitch.

There was an article a few years after the 9.11 attacks, about a middle aged woman, civilian employee at the Pentagon, who was badly disfigured in the resulting fires and how she copes with life. Her husband (photos from happier days were shown, they were both radiant) had left her after the disfigurement.

I was quick to fault…

View original 446 more words

Babies for whom?

Originally posted on Bloody shovel:

This post is a good example of what I wrote at the start of the year. I got an interesting idea that would require a lot of research to actually flesh out properly, but I don’t have the time to acquire that kind of expertise right now. So I don’t write the post, bury the idea, forget about it, and the world loses a half-assed good idea.

But, you dear readers told me that you can’t get enough of half-assed good ideas, so here it goes. All this adds to what I commented here at Land’s.

Yes, yes, people are not having babies. People in developed countries, that is. We don’t know why exactly, and everybody has its pet theory, but what we do have is a lot of data which we can run correlations with.

Low fertility is most severe in developed countries, but it doesn’t correlate cleanly with…

View original 1,528 more words

Optimizing the effective number of bets – an example using Canadian retail etfs

Anand Jeyahar:

interesting gotta try

Originally posted on Kyle Balkissoon:

Hello all, It is Christmas time and that means family members wanting “stock market” advice. My usual response is not to do any analysis/advice for family members as I have a rather large extended family (by my last count over 100) and I just don’t think it’s appropriate.

So I have worked up a quick example to maximize the effective number of bets using canadian retail etf’s. I did this quick analysis for my mother ( the one person I can’t say no to), however I would not use this to invest directly as different situations will warrant different objectives and constraints.

First and foremost I would like to thank Ross Bennett for his great work on Portfolio Analytics.

The following code simply downloads some etfs and builds a portfolio that minimizes (1/effective number of bets) (so it maximizes the effective number of bets).

As always this is not investment…

View original 568 more words

100 set week 48

Originally posted on Duckwasher:

Monday 24 November T 0…

Lunch with T. Nothing planed just happened. Sat next to each other and she was asking questions about me and thinking of making me dinner.

X 350
X 349
X 348
X 347

Tuesday 25 November T 0…

X 346 Approached a girl between shopping malls. “Hey, whats up? Like your style, what are you doing, where are you going… nothing hooks and she keeps walking away. Oh well.

= Easy approach and could have approached three more girls just by the eye contact alone they gave me. Five days left of December and 30 more girls to talk to to reach Five a day.

Had two dates with T and she talked about if it would be possible to me to kiss a girl that had eat meat and how to cook for me. Two dates in, what can she do for me? Time…

View original 669 more words

Blame it on Io! A slow-paced introduction to the Io language

Originally posted on Ozone:

No posts in a week, I have been silent too long. Blame it on Io!

You see, Io is a contagious disease. It affects programmers’ brains. The incubation period is extremely short, due to the simplicity of its syntax. But the damages are extensive, particularly for Algol-derivative programmers: you will end up messed up! Huh… I forgot to mention the vectors include reading posts about Io. I just hope your infection will not be as bad as mine. (If I do not get google hits from E.R. fans with this paragraph, what will it take?)

Yo Io!

First things first, let’s get the token “Hello World!” implementation out of the way:

"Yo Io!" print

Aside from my poor taste in greeting phrases, you probably noticed how concise and simple this statement is. At first sight, to most programmers, it appears to be written backward. Not so if you think that…

View original 944 more words