theschreon

4 ms·

1.
by theschreon 3y ago
I agree. But at the same time, insisting on 100% certainty/safety would mean to not do anything at all and stick to the status quo forever. It boils down to cost-benefit-calculations. While I agree that it is unacceptable to use custom
2.
by theschreon 3y ago
There's no sure-fire way to make a human who is processing a document manually never leak the information they read.
3.
by theschreon 8y ago
"Search is all well and good when we are counting words, which is what data analytics and machine learning are really all about." There are machine learning models which go far beyond counting words, for example see https:/&
4.
One Big Net for Everything(arxiv-vanity.com)
1 points by theschreon 9y ago|0 comments
5.
by theschreon 9y ago
Does this also work for larger numbers of features? (like, 2000, as opposed to 6-9 in the demo)
6.
by theschreon 12y ago
Once you have identified the most significant individuals on a field, you can use google scholar alerts to get notified when they publish something new. ( http://scholar.google.com/scholar_alerts?view_op=list_alerts ). In the
7.
by theschreon 13y ago
You could try the following improvements to speed up neural network training: - Resilient Propagation (RPROP), it significantly speeds up training for full batch learning: http://davinci.fmph.uniba.sk/~uhliarik4/recogni
8.
by theschreon 13y ago
Will this software focus solely on Random Forests? Hoped to see e.g. Deep Convolutional Neural Networks as an option :(
9.
by theschreon 14y ago
Sometimes the underlying processes an application is designed for are too complex to be self-explanatory. Look at e.g. Photoshop, would not work without tutorials.