4.2. Algorithmes

Exemples d’application de la classification naïve bayésienne

Pour comprendre comment fonctionne la classification naïve bayésienne : https://actuairesbigdata.wordpress.com/2016/01/13/une-explication-simple-de-classification-naive-bayesienne/ Pour voir quelques exemples d’application, le package R e1071 propose la fonction naiveBayes : ## Categorical data only: data(HouseVotes84, package = « mlbench ») model <- naiveBayes(Class ~ ., data = HouseVotes84) predict(model, HouseVotes84[1:10,]) predict(model, HouseVotes84[1:10,], type = « raw »)   pred <- predict(model, HouseVotes84) table(pred, HouseVotes84$Class)  … Lire la suite Exemples d’application de la classification naïve bayésienne

4.2. Algorithmes

Une explication simple de classification naïve bayésienne

http://stackoverflow.com/questions/10059594/a-simple-explanation-of-naive-bayes-classification First, Conditional Probability & Bayes’ Rule Before someone can understand and appreciate the nuances of Naive Bayes’, they need to know a couple of related concepts first, namely, the idea of Conditional Probability, and Bayes’ Rule. (If you are familiar with these concepts, skip to the section titled Getting to Naive Bayes’) Conditional Probability… Lire la suite Une explication simple de classification naïve bayésienne

3. Manipulation des données

DataBasic: A suite of data tools for the beginner

DataBasic: A suite of data tools for the beginner Easy-to-use web tools that help data newbies (and the more experienced) grasp & learn the basics By Matt Carroll <@MattatMIT> I’m a data geek from way back at The Boston Globe. Naturally enough, I have a deep interest in data, data visualizations, and the tools used… Lire la suite DataBasic: A suite of data tools for the beginner

4.2. Algorithmes

Niveaux de Super Mario et réseaux de neurones

Machine Learning is Fun! Part 2 Using Machine Learning to generate Super Mario Maker levels In Part 1, we said that Machine Learning is using generic algorithms to tell you something interesting about your data without writing any code specific to the problem you are solving. (If you haven’t already read part 1, read it… Lire la suite Niveaux de Super Mario et réseaux de neurones