With the rapid development in data analytics and sophisticated data science, the addition of machine learning ushers in a new era of data-driven decision making for many industries. Data science is an essential skill for analyzing and deriving useful insights from data, big and small. Machine learning algorithms that iteratively learn from data, enables the computers to find hidden insights without being explicitly programmed. The advanced analytics technology, especially with machine learning, help the organization to predict what will happen in the future based on the analysis of their existing data. The art of machine learning in data science is to create accurate models to guide future actions and to discover patterns that we have never seen before.
Over the past decade, machine learning algorithms have learned to detect credit card fraud by mining data on past transactions, learned to steer vehicles driving autonomously on public highways, learned the reading interests of many individuals to assemble personally customized electronic newspaper, and improved personalized medicine. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. Now-a-days people probably use machine learning dozens of times a day without knowing it.
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