Introduction à l'IA et la représentation des connaissances

-

Pourquoi optons-nous à  l'IA ?

  • Les connaissances d'un expert sont subjectives et difficiles à formaliser.
  • Les formalismes utilisés pour la représentation des connaissances ne permettent pas un bon niveau d'abstraction et restent liés à l'implantation.
  • Résoudre un problème recrurent
  • Un problème qui ne se résout pas par un algorithme, car un algorithme résout un problème qu'on connais déjà sa solutution
Comment juge-ton un systéme IA ?
La qualité d’un système intelligent est celle de sa base de connaissance
De quoi il est constitué un système IA?
Dans un système intelligent on a 3 composants

  1. Base de connaissance 
  2. Une partie pour faire les inférences (raisonnement) 
  3. Une structure de contrôle pour orienter le raisonnement
Plateforme IA Microsoft :
Principalement il existe 4 plateforme Microsoft pour résoudre un problème en IA
  1. Cognitive Service :Permet de réagir intelligemment avec l'utilisateur, à travers un ensemble d'API pour détecter principalement le visage, le parole ou langage
  2. Bot service : Permet  votre application de communiqué directement avec votre utilisateur (Messanger , Slack , Cortana)
  3. Deep learning : c'est une plateforme d'apprentissage profonde, vous pouvez faire apprendre votre modèle de donnée afin d'améliorer la réponse du système   
  4. Analyse des données : une fois vous avez "Trainner" votre système il est temps de pouvoir analyser votre base de connaissance a fin de tirer des informations utile 

Commentaires

Enregistrer un commentaire

Posts les plus consultés de ce blog

Naive Bayes Classification Algorithm

-
Image
You are a data scientist,  an Intelligence Artificielle engineer, or a Statisticien, this post can help you to resolve your problems You are working on a classification problem and you have generated your set of hypothesis, created features and discussed the importance of variables. Within an hour, stakeholders want to see the first cut of the model. What will you do? You have hunderds of thousands of data points and quite a few variables in your training data set. In such situation, if I were at your place, I would have used ‘Naive Bayes‘, which can be extremely fast relative to other classification algorithms. It works on Bayes theorem of probability to predict the class of unknown data set. You wold like to know haw it work ? Step 1: Convert the data set into a frequency table Step 2: Create Likelihood table by finding the probabilities like Overcast probability = 0.29 and probability of playing is 0.64. Step 3: Naive Bayesian equation to calculate...
Lire la suite

Cross-Origin Resource Sharing and Azure Machine Learning web services

-
Image
Cross-Origin Resource Sharing (CORS) is a mechanism that allows web objects (e.g., JavaScript) from one domain to request objects (web service requests) from another domain. Cross-origin requests initiated from scripts have been subject to restrictions primarily for security reasons. CORS provides a way for web servers to support cross-site access controls, which enable secure cross-site data transfers. At the time of this writing, it should be noted that Azure Machine Learning web services do not currently support CORS requests. See the following link for more information: https://social.msdn.microsoft.com/Forums/en-US/b6ddeb77-30e1-45b2-b7c1-eb4492142c0a/azure-ml-published-web-services-cross-origin-requests?forum=MachineLearning. This CORS restriction really means that if you wish to fully exploit Azure Machine Learning web services for deployment, testing, and production for a wide variety of (web) clients, you will need to host your own server-side applications. You basically hav...
Lire la suite

ChatBot

-
Image
How we   choose the bot framework ? If i talk about Microsoft. Essentially we have a single bot, is built and later rolled out to multiple canvasses without any further customization. Currently, the platform supports many channels (such as Facebook Messenger, Slack, SMS, email, Web Chat) including Microsoft’s own premiers (like Skype, Cortana, Microsoft Teams, Bing, GroupMe). All settings are pre-configured on the Developer Portal with an easy-to-follow walkthrough about how to integrate the bot with the hosting applications. How we   consume the bot framework ? Developers can connect directly from their client application, web chat controls or mobile apps throw Direct Line REST API tool of the bot Connector. This API makes it possible to empower existing applications and services with a conversational user interface. Microsoft has its own massive range of cloud-based Cognitive Services   APIs with the power of machine learning and AI algorithms. ...
Lire la suite