Machine learning basics with IBM data science experience

The growing body of digital data has given rise to unprecedented opportunities for and humanity advancement and competitive advantage in the enterprise and beyond. Machine learning enables learning from large datasets to solve problems. Its applicability spans many industries. For instance, in the finance industry, machine learning is used to score clients on transaction risk based on client spending history. In government, agencies use machine learning to assesses likelihood of that individual will need multiple agency support for social services to proactively engage agencies, determine best outcome, and optimize costs. The impact of machine learning is heartfelt on end users of almost every technology service. For instance, the runaway success of Netflix is partly due to its recommendation engine which has machine learning at its core. Machine learning is particularly well-suited to solve industry-specific problems where data is abundant. Loan acceptance prediction, customer churn prediction, fraud detection are examples of such problems. This drives home the point that machine learning influences almost everything we do.