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Big Data – Examples of Unstructured Data

Big Data has become a reality that cannot be ignored. In one of my previous posts, I explained the reason for the adjective big that sits before data to create big data. I mentioned that big is not just refereeing to volume, but also to variety and velocity of growth.  Big data not only is big in...

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What is Machine Learning?

Posted by Anahita | Posted in Business Intelligence, Technology | Posted on 03-02-2013

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Computers and statisticians both can use data, but the way the process is done is completely different. Statistics is about the use of data to enable humans to conclude patterns and gain insight from the data. On the other hand statistical and mathematical models and methods can be applied to produce tools and methodologies for computers. These then are used by the machine to perform the required tasks.

When we teach the computers to give us insight about the data, we teach them to extract information from the data through algorithms in order to identify the patterns from a mass volume of noise. These algorithms, also known as Patten Recognition Algorithms, are also used to automate required tasks, enable us to train the machines to put data into certain contexts using a training set of data.

There are two main types of problems that are solved through the machine learning: classification and regression.

In future posts I will introduce you to some of the methods used in machine learning and their real life applications in Big Data.