1-Machine Learning : Start...

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John went to the cafeteria 10 times at 1:00 P.M. on 10 Fridays, each time the cafeteria was closed at that particular time. John decided not to go to cafe at 1:00 P.M. on Friday because the cafe will be closed. 
But wait! How did John know that the cafe will  also be closed on next Friday at 1:00 P.M.???
Yes, you are absolutely right. 
"John Learned from his Experience that the Task of going to the cafeteria at 1:00 P.M. on Fridays resulted in waste of time, since the cafe was closed on each Friday, so it will Perform the same on the next Friday."
In the above scenario, John learned something so we can call it "John Learning".
Similarly, if we replace John with some sort of Machine, that can learn from the Experience or from the History about how the tasks were performed in the past given certain situation. Such that the Machine will perform the same if the same task happen again in near future. Then this will be called as Machine Learning.

To make it Simple, Tom M. Mitchell  defined Machine Learning as:
"A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P if its performance at tasks in T, as measured by P, improves with experience E."
Such a beautiful definition....
Image Source: https://cdn.dribbble.com/users/695987/screenshots/4942508/loading.gif
This was just a little intro to Machine Learning, I will also cover the advance topics in next blog posts.
Happy Learning :)

 

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