Learning from World Wide Web

I am just gonna tell some bits of learning from huge data ( World Wide Web ), hopefully take to more methods to do it.

1. Incremental Learning
         As humans learn things from basic smaller things and build more complex things, so should machines learn. If we want Machine to understand what is fibonacci series, first it needs to know what are numbers, what is their precedence, what is addition, then we can calculate the sum of previous two numbers.

2. Visualization
        I think that machines can learn faster, if they learn by pictures. Like suppose i want to know what are numbers, we can simply represent it by dots. 1 is .  2 is .. 3 is ...   If i want to add two numbers 1 + 2 is simply .+.. = ...

3. Larger Set
       The greatest advantage of learning from World Wide Web is it has large data. Suppose i want to know what is "kiss", WWW gives all angles and all types of kisses.

4. Processed Information
      Again since World Wide Web gives all kinds of processed information, we don't need to recalculate it. What is Sin ( 90 ) + Cos ( 90 ) . You don't need to find what is Sin curve and Cos Curve or what is 90. World Wide Web simply gives you the result. We only need to find the threshold of number of Web Pages, the reliability of the Web pages considered, to find the result.

5. Augmenting the Results
     Suppose we want to calculate two parts of a formula and we know one part of the formula, we need to find the part we don't know and simply augment it with the first part to find the result.


.... More to come