Introduction à la DP
Dynamic Programming. Ou programmation dynamique en français. C'est une technique de résolution de problèmes, qui peut être un peu compliquée à comprendre, mais nous allons essayer de nous en sortir avec un exemple qu'on qualifie de "pas trop dur".
IOT to cloud example
There are data from multiples sites, each one with its own database. There is also a backend (let's say a cloud plateform), where all data from all sites are stored. How can we synchronize data each X minutes from each site to the backend, knowing that some data may be updated ?
Les problemes P, NP
Nous allons parler des problèmes P, NP, NP-Complet et NP-Difficile. Ce sont des notions de base en informatique en tant que "science".
Faux positifs
En statistique et en machine learning, on utilise souvent la notion de "faux positifs", "vrai positifs", rappel, précision ... Nous allons expliquer ces concepts aujourd'hui.
Eight Queens Puzzle
You have a chessboard of 8*8 square. You have 8 queens. Your goal is to place the 8 queens on the board, without any of them threatening another one. A queen is threaten if she is on the same row, or the same column, or the same diagonal of another queen (like in the rules of chess).
Faces detection with caffe
This is a project I worked on recently : detecting faces on an image thanks to machine learning (using caffe for CNN).
Introduction to caffe
Today, an article about caffe, a framework for convolutional neural network (machine learning). Caffe is quite famous, but its documentation is terrific. In this tutorial we will train a model, and use the python interface to ask the Neural Network to classify an image.
Disqus comments and article submission
A quick article to explain two new functionalities of vulgairedev.