I stumbled upon a interesting BMVC 2012 paper (Do We Need More Training Data or Better Models for Object Detection? — Zhu, Xiangxin, Vondrick, Carl, Ramanan, Deva, Fowlkes, Charless). It is claming something contrary to current notion of big data theory that advocates benefit of large data-sets so as to learn better models with increasing training data size. Nevertheless, the paper states that large training data is not that much helpful for learning better models, indeed more data is maleficent without careful tuning of your system !! Continue Reading
All kind of data is useful for companies since they are able to understand and direct their customers as much as data is acquired. The main purpose of the business is that. Understand customers so that you can make them happy, keep them alive in the company border. The only communication then is the data provided by all those people. They hire data analysis people and try to uncover some unknowns.