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Data scientists describe machine learning using the terms “supervised learning” and “unsupervised learning.” Define and describe supervised and unsupervised learning. List and describe common applications that are used for each process.
For years, developers have made extensive use of programming languages such as Python and R to implement machine-learning and data-mining applications. Recently, powerful visual programming environments, such as RapidMiner and Orange, have emerged. Discuss the pros and cons of coded and noncoded (visual) machine-learning and data-mining applications.
Need 2 Pages [ 1 page each question]


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