Around the blogs in 78 Summer hours: Big Data boot camp" at the Simons Institute and more...

The "Big Data boot camp" at the Simons Institute (part of the Big Data program this Fall) has gathered an impressive number of interesting people and no less than three bloggers are telling us what they saw there in the first day:

• 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?

Ivan Wavelets and tensors
Brian Shifting the machine vision paradigm?

Terry Polymath8: Writing the paper, II
Greg Supersymmetry in optics?
Sage

• Status report: integrating IPython into https://cloud.sagemath.com -- my approach
• LaTeX in the Cloud

Albert Status Imaging Forum “ADCs for Imagers”

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

Pip 

• More on the Diagonal
• D Plus O Equals Do
• A World Without Randomness

John Extreme Classification workshop at NIPS
Kaggle Q&A With Amazon Access Challenge First Prize Winner Paul Duan
Roger 

• \Prior knowledge and overfitting
• Testing MCMC code, part 2: integration tests

David ICML Highlight: Fast Dropout Training
Cam Videos about the Bayesian Methods for Hackers project
Walking randomly Fractals from iterating sines
Larry 

• Is Bayesian Inference a Religion?
• Statistics and Dr. Strangelove
• The JSM, Minimaxity and the Language Police

Hein

• Yann Esposito’s Category theory Slides with Haskell
• Category Theory ?

Jeremy Epic Fails: GPS Pod Tracker Postmortem
Ilya In-Stream Big Data Processing
Andrew 

• 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

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