Machine Learning is defined as a practice of using the suitable algorithms to utilize the data for learning and predict the future trend for a particular area. Machine learning software contains the statistical and predictive analysis that is used to recognize the patterns and find the hidden insights based on perceived data. The best examples of a machine learning application are Virtual assistant devices like Amazon’s Aleza, Google Assistance, Apple’s Siri, and Microsoft’s Cortana. Social platforms like Facebook work on machine learning principles and predict or respond as per the past behavior of the users to suggest them the most suitable things.
Data science is a term used for dealing with big data that includes data collection, cleansing, preparation, and analysis for various purposes. A data scientist collects data from multiple sources and after analysis, applies into predictive analysis or machine learning and sentiment analysis to extract the critical information from the data sets. These data scientists analyze and understand the data from a business perspective and give useful insights and accurate predictions that can be used while taking critical business decisions.