876 karma · joined May 14, 2010
Just curious if you compared Keras with caffe or torch in terms of performance?
By the way, have you ever came across something similar to python's pandas but in Scala? Specifically I'm looking for DataFrame functionality, where you can read a dataset where column might have different types and then slice and dice this data in a way you want. The closest I found is Breeze but it supports only numerical types . And Saddle, but it supports only 3 columns as far as I understood. Anything else?
The thing is Kaggle helps developing certain skills. It doesn't mean it helps you developing all necessary skills for your "real life". Your real life and your job may require unique combination of skills and the only way to fully prepare for it is to actually do real project that are specific to your job.
This is true, that getting and cleaning data is an important part of a workflow in data science and it's a necessary skill to have. But I don't believe anyone ever claimed Kaggle is enough to become a good data scientist. That's like studying algorithms is very useful, but who said it's enough to become good at software engineering? The skill consist of multiple parts which can be practiced separately or in combination in a real project where you do everything from scratch.
It'd be very interesting to know how the heck this thing works.
Also would love to meet anyone who has similar interests (or also psychology, neuroscience, philosophy of mind).
Background: engineer with the experience in full-stack. Programmning: Scala, Ruby, Python, JS. C/C++(long ago though)
Machine Learning: only finished coursera course and played with 101 Kaggle competitions.
artem.yankov@gmail.com