Data Science in a Box: Tools Attack Critical Skills Shortage

By Doug Black

Instrumental to advanced analytics and machine learning, data scientists must have command of a kitchen sink of tasks:  collecting, preparing and organizing large data sets in a variety of formats; developing and testing algorithms; building and implementing machine learning solutions; conducting data pattern analysis; explaining results to line managers, senior management and customers. Their education and qualifications, it include “a graduate degree in computer science and expertise in mathematics, statistics, computer programming and business knowledge.

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