Augmented Analytics

Augmented Analytics is an approach of data analytics that employs the use of machine learning and natural language processing to automate analysis processes normally done by a specialist or data scientist. ^[1]

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Table of Contents

1. 5 relations: Data science, Machine learning, Natural language generation, Natural language processing, Smart city.

Data science

Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, scientific visualization, algorithms and systems to extract or extrapolate knowledge and insights from potentially noisy, structured, or unstructured data. Augmented Analytics and data science are data analysis.

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Machine learning

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data and thus perform tasks without explicit instructions.

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Natural language generation

Natural language generation (NLG) is a software process that produces natural language output. Augmented Analytics and natural language generation are natural language processing.

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Natural language processing

Natural language processing (NLP) is an interdisciplinary subfield of computer science and artificial intelligence.

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Smart city

A smart city is a technologically advanced urban area that uses different types of electronic methods and sensors to collect specific data.

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References

[1] https://en.wikipedia.org/wiki/Augmented_Analytics

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