These are chat archives for FreeCodeCamp/DataScience

7th
Dec 2015
evaristoc
@evaristoc
Dec 07 2015 15:38

People,

Also in the FCC News, an article about Wikipedia and AI brought about by @QuincyLarson.

IMO, I would say: Don't be surprise when those techniques come part of the regular architecture of leading online education platforms...

Also:
For those interested in modelling and simulation, you can see this reference suggested by @jameswinegar in another room... not JS... simulation is in many ways a step or consequence of data analyses...

P1xt
@P1xt
Dec 07 2015 15:42
@evaristoc Thanks for that, the paper on The Affine Particle-In-Cell Method is fascinating ... adding that to my to-read-until-I-understand-it-all list.
CamperBot
@camperbot
Dec 07 2015 15:42
p1xt sends brownie points to @evaristoc :sparkles: :thumbsup: :sparkles:
:star: 182 | @evaristoc | http://www.freecodecamp.com/evaristoc
P1xt
@P1xt
Dec 07 2015 15:51
If anyone, like me, reads through that and gets to the section on how the method accounts for shearing and is thinking "omg what accompanying video", the video can be found here: http://www.disneyanimation.com/technology/publications/67
James Winegar
@jameswinegar
Dec 07 2015 15:54
@P1xt there is a lot of content in that paper, are you familiar with Lagrangian mechanics?
P1xt
@P1xt
Dec 07 2015 16:00
@jameswinegar only in the most general sense, but enough so that I understand contained systems and so that I can follow the the paper and comprehend where they're going with the concepts as they introduce them. I always went more math than physics, but I can understand the application they're exploring.
James Winegar
@jameswinegar
Dec 07 2015 16:00
@P1xt well feel free to message me if you want to discuss it some more.
@P1xt I did math/physics for undergrad and left a physics phd program.
P1xt
@P1xt
Dec 07 2015 16:02
@jameswinegar Will do. It's a pretty hefty paper, it'l likely take me a while to complete a comprehensive read of it. All I've done thusfar is a quick skim to see if there were any interesting applications.
Randy Torres
@randytorres
Dec 07 2015 18:15
Hi everyone!
Any recommendations for a beginner trying to learn more about data science?
Carl Parrish
@carl-parrish
Dec 07 2015 18:44
Coursera has a great free course on it. @randytorres
Also Swirl is a great tool for learning R. http://swirlstats.com/students.html
evaristoc
@evaristoc
Dec 07 2015 21:18
more about animations - a bit more into why (hybrid) Euralian and Langranian methods for fluids: http://www.cs.ubc.ca/~yefan/EoL_preprint.pdf
@randytorres agree with @carl-parrish
Carl Parrish
@carl-parrish
Dec 07 2015 21:22