Importance of mathematics in data science
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With the ever increasing amount of data available, the role of data science becomes ever more important and the mathematical sciences are a key element for its success. ... There is a wide variety of mathematical and statistical techniques and complex analytics that can extract value from complicated, multifaceted data
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Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions
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