"Should" you be using Bayesian statistics? That simply comes down to personal preference. I like to use it because it makes it really easy to reason about uncertainty in downstream applications. It's also useful when I have strong prior knowledge about an estimate or am updating it from a previous measurement. Its also especially useful when the data generating process has multiple stages or subpopulations and the particular application can make use of those component measurements.
You can totally use Bayesian statistics to measure V = IR... You could also just bootstrap `V/I`.
It's an emotion vs intellect thing. Birdman is like cocaine to people who like the emotional side, and like hydrochloric acid for people who want a movie to be rational.
I'm just surprise the numbers even bear that out like that.
It has been aggressively marketed, does that count? It is essentially, IMHO, a sales funnel into data science consulting services. They have some demo interactive things you can play with, but the real deal is a whole suite of ML techniques that they've either already made or can custom tailor to your needs. It is managed I believe by Apache UIMA. But if you already are doing this stuff, you may have a leg up in house.
Anyway... so you could probably think of it as you might think of web development solutions, that is, there isn't one thing, but a suite of all kinds of things, and that IMHO is Watson today. I think they have a big gaping cloud offering as well to run those models they have or come up with as well, but it isn't like Watson is this single computer that won Jeopardy, and that exact computer they are now letting everyone use or something... I mean it is, but it also isn't.
Yes. We have a bunch of cloud services (including visual recognition - demonstrated here) that you can embed in your own application. Try them here: http://ibm.com/watsondevelopercloud
It is not really the thing you think it is. A lot of high-profile teams have given up on typedclojure in favor of run-time checks like the Prismatic tools.
You can totally use Bayesian statistics to measure V = IR... You could also just bootstrap `V/I`.