171–180 of 333 posts
Earlier quoted context omitted.
Sorry for the aside, but... Haskell gang represent!
Yo! As a further aside, I do get to do some fun graphics in R and I'm pretty impressed how R has become the statistical standard and graphics too, mainly I think from one super dynamic statistician. Now that R is entrenched I can work on moving everyone into Haskell!
Earlier quoted context omitted.
Sorry for the aside, but... Haskell gang represent!
Yo! As a further aside, I do get to do some fun graphics in R and I'm pretty impressed how R has become the statistical standard and graphics too, mainly I think from one super dynamic statistician. Now that R is entrenched I can work on moving everyone into Haskell!
Just defended my PhD thesis in medical physics. Worked on radiation therapy treatment planning, which combines optimisation theory with the physics of Monte Carlo particle transport engines (and more macro energy deposition modeling as well) to simulate millions of different radiation dose distributions in patients and figure out which combination will lead to the right outcome based on what the radiation oncologist…
I'll leave this here, since many comments are about the transition from physics to data science. "For now, however, in hard-core physical science at least, there is little evidence of any major BD-driven breakthroughs, at least not in fields where insight and understanding rather than zerosales resistance is the prime target: physics and chemistry do not succumb readily to the seduction of BD/ML/AI. It is extremely r…
The lack of a guiding theory has been something I've talked about with regard to big data and ML in general. This said, if you look closely at the math behind ML, it looks, not to surprisingly, like statistical mechanics. So if we take some of the thought processes behind Stat Mech (or S&M as we used to call it in grad school), and you kinda squint your eyes hard to blur the less robust discussions you read about, yo…
Earlier quoted context omitted.
In his current situation, if he zones out, he produces nothing. In the situation where he's aided by the potentially faulty described system, if he zones out, he produces erroneously transcribed data.
What? In his current situation, if he zones out, he can produce erroneously transcribed data too. What's your point?
Just so you don't get the impression every physicist is having a fabulous time, here's me: I have a bachelors in physics. I went for a phd in biology but had to bail to work to support family, plus I can't seem to come up with original ideas. I now have a job with physicist as part of the title, but what I really do is try to read bad handwriting from records from nuclear weapons plants. It's a dull job a monkey coul…
I, too, read the Strogatz book :^).
Just defended my PhD thesis in medical physics. Worked on radiation therapy treatment planning, which combines optimisation theory with the physics of Monte Carlo particle transport engines (and more macro energy deposition modeling as well) to simulate millions of different radiation dose distributions in patients and figure out which combination will lead to the right outcome based on what the radiation oncologist…
I worked various SWE jobs initially, mostly C++.
Then I started a Phd in Physics, but didn't finish, bc I did a startup [1]. The startup failed.
Since then I've been working in various data/science roles at companies (Prezi, Facebook, now Fetchr).
Data Science is a perfect fit for me (CS+Physics), there's nothing around it that I can't do, from setting up stuff on AWS, building dashboards, A/B testing, getting data out with SQL, doing ML with SKL or Pytorch, defining metrics and setting high-level company goals, explaining stuff to the CxOs.
I'm really good at it, I have very high impact, get paid good money, make my own rules (mastery, autonomy, etc).
Overall I got lucky because data/science exploded, and it just so happened that my interests/background/experience were a perfect fit.
I got doubly lucky bc now Deep Learning is exploding [2], which is a perfect playground for people like me (play around with models, metrics, training, loss functions, etc.)
I still buy lots of Physics books and sometimes read papers, but I'm trying to quit that, bc it's mostly pointless.
Today I teach math and physics in high-school and feel like never having had a better job in my life.