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May 10 2012

Statistics One - Coursera.org

Annotations:
  • friendly introduction to very simple, very basic, fundamental concepts in statistics
    • No math = bad
  • 1 September 2012
  • examples and assignments will involve writing code in R
  • provides an introduction to the R programming language
  • Distributions
  • Random sampling
  • Correlation. Causality.
  • Multiple regression. Ordinary least squares.
  • Confidence intervals
  • t-tests, chi-square tests. Analysis of Variance.
  • weekly quizzes and weekly "take-home" assignments
  • three one-hour lectures per week
  • midterm exam and a final exam

Tags: statistics education video lectures

Computer Vision: From 3D Reconstruction to Visual Recognition - Coursera.org

Annotations:
  • 23 July 2012
  • systematic overview of computer vision, comparable to an advanced graduate level class
  • recognizing objects, segmenting objects, recognizing meaning of scenes
  • at least one programming language (preferably Matlab, and/or C)
  • linear algebra, probability, statistics

Tags: computervision video lectures education

svhn_tutorial - EBLearn

Annotations:

Tags: machinelearning programming tutorial

machine learning - Having a job in data-mining without a PhD - Statistical Analysis - Stack Exchange

Annotations:
  • master's degree holders usually have just as much theoretical depth, better programming skills, and are more pliable and can be trained for their company's specific tasks
  • when someone has dedicated tons of time to a particular machine learning paradigm, they have a hard time generalizing their productivity to other domains
  • a lot of machine learning jobs these days are all about getting things done, and not so much about writing papers or developing new methods
  • you might not get something that practitioners will care about
  • you'll be paid basically just as well as someone with a PhD

Tags: career machinelearning datamining

edX - Home

Annotations:
  • MIT and Harvard
  • new partnership in online education

Tags: education

Interviews Can Be a Terrible Way to Identify Good Programmers - The Codist

Annotations:
  • The skill set needed to build a quality dwelling far exceeds what you can tell from a tiny sample of a tiny portion of someone's ability
  • Good programmers talk like they work
  • still remember details of projects going back decades
  • Programming is not about writing lines of code, it's about completing projects or shipping applications

Tags: programming career opinion

Internet-Shopping und Versandhandel

Annotations:
  • Zoll muss zusätzlich ab einem Warenwert von 150 Euro entrichtet werden
  • Warenwert von über 22 Euro aufweisen sind einfuhrumsatzsteuerpflichtig

Tags: finance

mldata :: Welcome

machine learning data set repository

Tags: machinelearning research

Natural Image Statistics

Annotations:
  • Natural Image Statistics

      

    — A probabilistic approach to early computational vision

  • Springer-Verlag, 2009
  • Full preprint version in pdf, 487 pages, 9 MB (Feb 2009 version)

Tags: imageprocessing computervision books

Free Onsite & Offsite Computer Backup - CrashPlan - Data Backup Software

Ihar Mahaniok uses "unlimited", >250 GB. It's free if only backed up to own computers.

Annotations:
  • back up to computers belonging to your network  of friends or family for offsite backup
  • if something happens to   one of your backup locations, you'll be able to restore from another

Tags: cloud storage software

Boosting: Foundations and Algorithms (Adaptive Computation and Machine Learning series): Robert E. Schapire, Yoav Freund: 9780262017183: Amazon.com: Books

Annotations:

Tags: machinelearning books

Win-Vector Blog » The differing perspectives of statistics and machine learning

Annotations:
  • machine learning initiates expect to get rich and statistical initiates expect to get yelled at
  • stereotype machine learning examples
  • identifiable theme that all of the data is before us and it is just a matter of finding its secrets
  • find the right combination or transformation
  • Statisticians, on the other hand, have very good descriptions of what often goes wrong in even observing simple data
  • Error/Noise
  • test if variables are reliable and test to what extent they remain useful after adding more variables
  • The statistician tends to use sophisticated methods to validate and repair data, not to decode complex hidden relations
  • are you more worried about functional form (so you should look to machine learning) or issues of measurement (so you should look to statistics)

Tags: machinelearning statistics opinion

Installing the SDK | Android Developers

Annotations:
  • SDK starter package
  • Eclipse installed
  • Installing the ADT Plugin

Tags: android programming tutorial

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