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Frontmatter -- Acknowledgments -- About the Author -- Contents -- Introduction -- Part 1: Big Data Overview -- Chapter 1 Introduction to Big Data -- Chapter 2 Enterprise Data Governance Directive -- Part 2: Big Data Governance Fundamentals -- Chapter 3 Data Risk Management -- Chapter 4 NoSQL...
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"The objective of Data Science for Supply Chain Forecasting is to show practitioners how to apply the statistical and ML models described in the book in simple and actionable 'do-it-yourself'' ways by showing, first, how powerful the ML methods are, and second, how to implement them with minimal...
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Artificial intelligence is emerging as a game-changer in the business world, with impacts across all sectors. AI allows business to process massive amounts of data instantaneously, and to scale solutions at almost zero marginal cost, forcing companies to adapt and reimagine their business and...
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Companies in developing countries are adopting Artificial Intelligence applications to increase efficiency and open new markets for their products. This book explores the multifarious capabilities and applications of AI in the context of these emerging economies and its role as a driver for...
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moving fast from basic structured machine learning doing menial yet important big data tasks like credit card fraud detection …
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