- Suresh (Statistics, geometry and computer science.)
- Muthu (Simons Big Data Boot Camp)
- Sebastien (First week of activity at the Simons Institute)
Hopefully the videos will be stored somewhere for nonlive viewing in the future. Earlier, Sebastien also provided a summary of Random-Approx 2013
In other news, I note from Vladimir the use of Memristors and the turn over at Lytro and lot of interesting topics by others as well:
Bob Deconstructing statistical questions and vacuous papers
Mark What does the “OSS” in MLOSS mean?
Join the CompressiveSensing subreddit or the Google+ Community and post there !
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Mark What does the “OSS” in MLOSS mean?
Terry Polymath8: Writing the paper, II
Greg Supersymmetry in optics?
Sage
Greg Supersymmetry in optics?
Sage
- Status report: integrating IPython into https://cloud.sagemath.com -- my approach
- LaTeX in the Cloud
Vladimir
- Alyosha Molnar Presents Angle-Sensitive Pixel-Based 3D Camera
- Almalence Shows its Super-Resolution Zoom Technology
- German Consortium Develops Array Cameras
- Bottle of French Wine for the Explanation of Data
- London Image Sensors Conference 2014 Announces First Speakers
- Boyle and Smith Present CCD in 1978
- Memristor-Based Neural Image Processor Said to be 1000x Faster and Consume 10,000x Less Power
- Optical Mouse Evolution
- Lytro Lays Off, Keeps Being Optimistic about the Future
John Extreme Classification workshop at NIPS
Kaggle Q&A With Amazon Access Challenge First Prize Winner Paul Duan
Roger
Kaggle Q&A With Amazon Access Challenge First Prize Winner Paul Duan
Roger
David ICML Highlight: Fast Dropout Training
Cam Videos about the Bayesian Methods for Hackers project
Walking randomly Fractals from iterating sines
Larry
Cam Videos about the Bayesian Methods for Hackers project
Walking randomly Fractals from iterating sines
Larry
Hein
- Does it matter that a sample is unrepresentative? It depends on the size of the treatment interactions
- Popper and Jaynes
- Evaluating evidence from published research
- Post-publication peer review: How it (sometimes) really works
- All inference is about generalizing from sample to population
- “The comment section is open, but I’m not going to read them”
- Workshop for Women in Machine Learning
- Job opening at an organization that promotes reproducible research!
- A lot of statistical methods have this flavor, that they are a solution to a mathematical problem that has been posed without a careful enough sense of whether the problem is worth solving in the first place
Liked this entry ? subscribe to Nuit Blanche's feed, there's more where that came from. You can also subscribe to Nuit Blanche by Email, explore the Big Picture in Compressive Sensing or the Matrix Factorization Jungle and join the conversations on compressive sensing, advanced matrix factorization and calibration issues on Linkedin.
1 comment:
all videos recordings of the bootcamp lectures so far are currently available at
http://www.ustream.tv/channel/big-data-boot-camp
they will soon been added to the official workshop website as well, which is
http://simons.berkeley.edu/workshops/schedule/316
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