Machine Learning Methods and Applications in Data Science, ITS 531
VerifiedAdded on 2022/08/20
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Essay
AI Summary
This essay provides a comprehensive overview of machine learning, differentiating between supervised and unsupervised learning methods. It explores the functionalities of Artificial Neural Networks (ANNs) within supervised learning, explaining their role in predicting outcomes. The essay illustrates the concepts with practical, real-world examples, such as regression and classification in supervised learning, and clustering and association/reduction in unsupervised learning. Additionally, the essay references scholarly sources to support its findings, adhering to APA 6th edition style guidelines.
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