In this information age, the decision-makers have been able to access enormous quantities of data, and every day a
massive stock of petabytes and zeta bytes of data is generated using today’s digital services and modern technology such as the
Web, social networking sites, internet of things and cloud computing.
Machine learning techniques for the interpretation and analysis of these data are applied quite effectively. There are however
various machine-learning strategies for analysing data, all of which do not work on every data on the same basis. In this paper,
we have presented a survey about some machine learning techniques and discussed their application along with the steps
involved for it.
