mercredi 31 octobre 2012

10 Papers Every Programmer Should Read (At Least Twice)

English: Programmer
English: Programmer (Photo credit: Wikipedia)
10 références sur la programmation... et beaucoup de commentaires qui en proposent d'autres. A parcourir, lire...

10 Papers Every Programmer Should Read (At Least Twice)
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lundi 22 octobre 2012

Free Courses

Computer Science
Computer Science (Photo credit: derrickting)
De nombreux cours en ligne en Informatique (sites, podcasts vidéo, etc.)

Get free Computer Science courses from the world’s leading universities. 
 Computer Science: Free Courses | Open Culture
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vendredi 19 octobre 2012

jQuery Fundamentals :: A guide to the basics of jQuery

JavaScript c'est bien... mais un framework de présentation c'est mieux ! Il en existe plusieurs, mais celui qui est le plus connu est JQuery. Le site ci-dessous vous aidera à demarrer avec :
jQuery Fundamentals :: A guide to the basics of jQuery

jeudi 18 octobre 2012

Bayesian Reasoning and Machine Learning

"Bayesian Reasoning and Machine Learning", By David Barber

The last decade has seen considerable growth in interest in Arti cial Intelligence and Machine Learning. In the broadest sense, these elds aim to `learn something useful' about the environment within which the organism operates. How gathered information is processed leads to the development of algorithms how to process high dimensional data and deal with uncertainty. In the early stages of research in Machine Learning and related areas, similar techniques were discovered in relatively isolated research communities. Whilst not all techniques have a natural description in terms of probability theory, many do, and it is the framework of Graphical Models (a marriage between graph and probability theory) that has enabled the understanding and transference of ideas from statistical physics, statistics, machine learning and information theory. To this extent it is now reasonable to expect that machine learning researchers are familiar with the basics of statistical modelling techniques.

This book concentrates on the probabilistic aspects of information processing and machine learning.

The 2012 version of the book :
The book website :
The author website :
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vendredi 12 octobre 2012

Apprendre à coder | Learn to code

English: Official Ruby logo Русский: Официальн...
English: Official Ruby logo Русский: Официальный логотип языка программирования «Ruby» (Photo credit: Wikipedia)
Pour découvrir la programmation, allez voir la Codecademy ! Vous y trouverez des ressources pour faire de la programmation Web et pour utiliser Javascript et Ruby.

Learn to code
Codecademy is the easiest way to learn to code. It's interactive, fun, and you can do it with your friends.

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mardi 9 octobre 2012

CCS 2012

The new ACM Computing Classification System is available as a SKOS ontology (CCS 2012). It replaces the traditional 1998 version. The next update ? 2014 !

Denotational Semantics


David A. Schmidt

lundi 8 octobre 2012

Good Ideas, Through the Looking Glass

Niklaus Wirth, 1969
Niklaus Wirth, 1969 (Photo credit: Wikipedia)

Good Ideas, Through the Looking Glass 

Niklaus Wirth

An entire potpourri of ideas is listed from the past decades of Computer Science and
Computer Technology. Widely acclaimed at their time, many have lost in splendor and
brilliance under today’s critical scrutiny. We try to find reasons. Some of the ideas are
almost forgotten. But we believe that they are worth recalling, not the least because one
must try to learn from the past, be it for the sake of progress, intellectual stimulation, or
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