Machine Learning is the area of computer science which is growing rapidly.Some people says that this is the next big thing to be happened.Well this kind of words always pour s down whenever a new kind of topic hit the web.Machine Learning is not something like web2.0 or other general web related topic.In order to make Machine Learning a success we have to think of semantic web.Semantic web has been coined long back by Tim Barnes Lee .Its a visionary step and requires a lot of effort.Developers and programmers need to be educated first about the semantic web.Once the semantic web vision is full filled we would probably see a lot of machine learning robots on the web which crawl the web for finding interesting data and continuously training themselves for decision making.This is really exciting and would give a new generation of software that integrates desktop and web.A simple example would be a RSS robot.This is just an idea of myself.My RSS robot would crawl many news site for interesting news and says me good morning with a pan of todays breaking news from some chosen news services when I open my note PC.And I teach my robot time to time what and what not to serve me.This idea is really fascinating for me and hope one day real machine learning robots will crawl around the web following tons of millions of data.That day is not probably too far away..
