bendyBus

7 ms·

31.
by bendyBus 12y ago
What can I say? our bots just really hit it off.
32.
Bayes vs. Paul the Psychic Octopus(jasmcole.com)
3 points by bendyBus 12y ago|1 comments
33.
by bendyBus 12y ago
Would you be willing to elaborate re my reply to colinramsay?
34.
by bendyBus 12y ago
"learn once, write everywhere" - I like the sound of that! But I guess in the spirit of React this is still only the "V" in MVC right? I don't suppose they are planning to broaden the scope to anything other than re
35.
by bendyBus 12y ago
I'm not sure I understand how it's different from YAML.
36.
by bendyBus 12y ago
but really - and I'm sure this is your `secret sauce' so you don't want to give away too much - how do you get hypers which just work out the box? was this some kind of meta-regression on the hypers? Or did you do a bayesian
37.
by bendyBus 12y ago
Yes, I'm part of the GAP research group (with Albert Bartok Partay and Gabor Csanyi). Representing environments is definitely still an ongoing research project. Other things I've played with in the past include identifying crystal
38.
How do you design telling engagement metrics?
1 points by bendyBus 12y ago|0 comments
39.
by bendyBus 12y ago
Have been following these guys for a while and had a lot of fun playing with their API when they were still in the alpha stage. Really impressive stuff being able to do NLP in a black-box fashion. I'm sure it took a lot of time getting
40.
by bendyBus 12y ago
Sanity disclaimer: I'm sure right/left brained isn't the best or most current model of personality/cognition, but it's widely known and helps to frame this question, which I find interesting. Is there a personality
41.
Are you a right-brained programmer?
1 points by bendyBus 12y ago|1 comments
42.
by bendyBus 12y ago
I'm not sure if I would agree with categorising the field as a race. I absolutely agree that the number of people using Machine Learning within the atomistic simulation community is skyrocketing. But everyone is just exploring the rang
43.
by bendyBus 12y ago
There is a lot of hype surrounding Deep Neural Networks which seem to be able to solve extremely challenging machine learning problems with almost no human tuning of parameters. This is an informal talk at the big-O meetup in London discuss
44.
Learning Quantum Mechanics: Machines vs. Humans [video](skillsmatter.com)
38 points by bendyBus 12y ago|9 comments
45.
by bendyBus 12y ago
would like to share this which I found on twitter recently: The Law of printf debugging: debugging messages inserted to track down unwanted behavior asymptotically approach "o_O" -- @a_cowley So thanks alixander for a considerable
46.
by bendyBus 12y ago
8/ A new generation of apps redefining work habits is well overdue. The obvious driver I see is that people's expectations for software usability/design are set by consumer apps. Also millenials are entering the workforce, an