ivoflipse

9 ms·

61.
Finally, a Formula For Decoding Health News(fivethirtyeight.com)
1 points by ivoflipse 13y ago|0 comments
62.
Tracking Health One Step (And Clap, And Wave, And Fist Pump) at a Time(fivethirtyeight.com)
1 points by ivoflipse 13y ago|0 comments
63.
Stupid Smart Stuff(linkedin.com)
124 points by ivoflipse 13y ago|45 comments
64.
Decisions, Data, and the Scientific Method(technologyreview.com)
1 points by ivoflipse 13y ago|0 comments
65.
MPLD3: Bringing Matplotlib to the Browser(mpld3.github.io)
2 points by ivoflipse 13y ago|0 comments
66.
by ivoflipse 13y ago
You could buy the book, which isn't that expensive and covers everything from the video's as far as I can tell. That allows you to study it more at your own pace. I'm taking the Visualizing Algebra course from Udacity, after
67.
Meet the Man Google Hired to Make AI a Reality(wired.com)
3 points by ivoflipse 13y ago|1 comments
68.
by ivoflipse 13y ago
I first wanted to link to their homepage, but its just a sign up page for updates. Their Vimeo has some more nice looking videos like this one: http://vimeo.com/60564990 Too bad they aren't exactly spilling beans on ho
69.
Thorskan – Better Reality 3D Scan(geeks3d.com)
32 points by ivoflipse 13y ago|22 comments
70.
ConvNetJS: Deep Learning in your browser(cs.stanford.edu)
2 points by ivoflipse 13y ago|0 comments
71.
Benford's Law(datagenetics.com)
2 points by ivoflipse 13y ago|0 comments
72.
by ivoflipse 13y ago
I'm helping veterinary scientists with their gait analysis, basically by porting the calculations used for pressure measurements (so no 3D forces) on humans and solving problems like detecting the paws along the way. An example of what
73.
by ivoflipse 13y ago
That looks really interesting! I'm currently trying to cook up a reliable way to label my paw prints (like here: http://stackoverflow.com/questions/4502656/how-to-sort-my-pa... ). I'm wondering if modelin
74.
by ivoflipse 13y ago
Do you happen to have any reports or theses about the animal locomotion studies? I'm currently working on a similar topic ( https://github.com/ivoflipse/Pawlabeling/ ) and its always good to learn from past exp
75.
Why I promote conda(technicaldiscovery.blogspot.nl)
3 points by ivoflipse 13y ago|0 comments
76.
The Science Behind Kinects or Kinect 1.0 versus 2.0(gamasutra.com)
3 points by ivoflipse 13y ago|0 comments
77.
by ivoflipse 13y ago
If you liked his first chapter, consider supporting his IndieGogo campaign for the whole book ( http://www.indiegogo.com/projects/neural-networks-and-deep-l... ).
78.
Documentation, Testing, and Packaging(nbviewer.ipython.org)
1 points by ivoflipse 13y ago|0 comments
79.
Using neural nets to recognize handwritten digits(neuralnetworksanddeeplearning.com)
121 points by ivoflipse 13y ago|31 comments
80.
by ivoflipse 13y ago
Thanks :-) Your answers on some of those other questions really helped me get into this type of analysis. I'm even still working on my this dogs project ( https://github.com/ivoflipse/Pawlabeling ), the automatic la
81.
Extending Python with Compiled Code(astro.washington.edu)
1 points by ivoflipse 13y ago|0 comments
82.
Visual Cryptography(datagenetics.com)
274 points by ivoflipse 13y ago|40 comments
83.
by ivoflipse 13y ago
He just tweeted it, which is why its showing up. But yes, the attribution is wrong.
84.
by ivoflipse 13y ago
My suggestions would be to try running Canopy (Enthought) or Anaconda (Continuum), which come with all 'scientific' batteries included and make scientific libraries easier to install and to keep them up to date.
85.
by ivoflipse 13y ago
I can understand that you'd want to manually check what's happening. For example taking the mean over the rows of a 2D array using numpy's mean function and aren't really sure whether axis=0 or axis=1 refers to the rows.
86.
How to program unreliable chips(web.mit.edu)
2 points by ivoflipse 13y ago|0 comments
87.
How to escape a monster (using calculus)(datagenetics.com)
124 points by ivoflipse 13y ago|27 comments
88.
The Traveling Salesperson Problem by Peter Norvig(nbviewer.ipython.org)
6 points by ivoflipse 13y ago|0 comments
89.
by ivoflipse 13y ago
For a more painless install try Continuum's Anaconda or Enthought's Canopy. They bundle together the most important scientific libraries, work cross-platform and in this case include all dependencies.
90.
Efficient Top-N Recommendation by Linear Regression(slideshare.net)
1 points by ivoflipse 13y ago|0 comments

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