Finding A Needle in The Sea
Description:There are 3 popular topics of Computer Science that I always hear, they are Ai, Machine Learning and Big Data. They seems to be the pillars of the future world. In my opinion, Big Data is like finding a needle in the sea.
Diary:Let's go for diving into the pacific ocean, there may have some precious things. I don't have a map for finding treasures, I don't have any specific goals, just go to diving into the sea, try to find out something.
Do I sound crazy? No, I am not crazy. That's what Big Data is!
There are 3 popular topics of Computer Science that I always hear, they are Ai, Machine Learning and Big Data. They seems to be the pillars of the future world. In my opinion, Big Data is like finding a needle in the sea.
Experts and scholars in this field would tell you that you can learn new knowledge, human behaviours and study a future trend by Big data. What about relevance? In Statistics, we must establish a specific goal, then gathering relevant data. Relevant data, that's always ignored in Big Data projects . Big Data is not structured data sets, we must also have a good analytical strategy. Otherwise, Big Data is meaningless.
If a company would like to adopt Big Data in their business, the company needs to invest a huge amount of money to strengthen their computerised system. I guess the results drilled out of Big Data is similar to those results created by traditional statistical methods. I still remember that if we gather 1000 sets of sample data, the result is close to reality. Thus, why should we use the costly Big Data to instead of the statistical methodologies? Computer hardware providers, such as IBM, they are able to tell you more than a dozen advantages of Big Data.
For me, I am interested in Machine Learning and Ai more. Both of them are much more useful than Big Data. Machine Learning is interesting, we don't need to develop a set of programs to achieve a specific goal, a machine can do it itself by learning. Indeed, Machine Learning and Ai are not new, they have already been developing for 50 years.
We use email filters everyday, the software would find out spam emails and put them into a spam folder. That kind of email filters is adopted Machine Learning to leach spam emails away.