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Activities & events
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Harnessing AI for Better Economic Measurement and Decisions
2024-12-08 · 16:00
⚡️Title: Harnessing AI for Better Economic Measurement and Decision Making 📝 About the talk: Peter John Lambert and Thiemo Fetzer will showcase a range of applications of how AI can be leveraged to improve the quality of economic measurement focusing on investment, supply chains, and subnational economic activity. This has broad implications for evidence-based policy making, the design of financial regulation, trade policy and the collection and disemmination of official statistics. 🎙️ About the speakers: Thiemo Fetzer is a Professor of Economics at University of Warwick and Bonn. He is also a fellow or affiliated with the Centre for Economic Policy Research, Granthan Institute at the London school of Economics, and a scientific advisor to the Applied Economics AI group. Peter John Lambert is a researcher at the London School of Economics and co-founder of the Applied Economics AI group. He is also affiliated with Programme on Innovation and Diffusion (POID) at the London School of Economics. |
Harnessing AI for Better Economic Measurement and Decisions
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Hadoop in Action
2010-11-30
Chuck Lam
– author
Hadoop in Action introduces the subject and teaches you how to write programs in the MapReduce style. It starts with a few easy examples and then moves quickly to show Hadoop use in more complex data analysis tasks. Included are best practices and design patterns of MapReduce programming. About the Technology Big data can be difficult to handle using traditional databases. Apache Hadoop is a NoSQL applications framework that runs on distributed clusters. This lets it scale to huge datasets. If you need analytic information from your data, Hadoop's the way to go. About the Book What's Inside Introduction to MapReduce Examples illustrating ideas in practice Hadoop's Streaming API Other related tools, like Pig and Hive About the Reader This book requires basic Java skills. Knowing basic statistical concepts can help with the more advanced examples. About the Author Chuck Lam is a Senior Engineer at RockYou! He has a PhD in pattern recognition from Stanford University. Quotes A guide for beginners, a source of insight for advanced users. - Philipp K. Janert, Principal Value, LLC A nice mix of the what, why, and how of Hadoop. - Paul Stusiak, Falcon Technologies Corp. Demystifies Hadoop. A great resource! - Rick Wagner, Acxiom Corp. Covers it all! Plus, gives you sweet extras no one else does. - John S. Griffin, Overstock.com An excellent introduction to Hadoop and MapReduce. - Kenneth DeLong, BabyCenter, LLC |
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Essential XML: Beyond Markup
2000-07-13
The Extensible Markup Language (XML) has been anointed as the universal duct tape for all software integration problems despite XML's relatively humble origins in the world of document management systems. presents a software engineering-focused view of XML and investigates how XML can be used as a component integration technology much like COM or CORBA. Written for software developers and technical managers, this book demonstrates how XML can be used as the glue between independently developed software components (or in the marketecture terminology Essential XML du jour, how XML can act as the backplane for B2B e-commerce applications). Authors Don Box, Aaron Skonnard, and John Lam cover the key issues, technologies, and techniques involved in using XML as the adhesive between disparate software components and environments. They explain the fundamental abstractions and concepts that permeate all XML technologies, primarily those documented in the XML Information Set (Infoset). XML-based approaches to metadata, declarative, and procedural programming through transformation and programmatic interfaces are covered. Don Box, co-author of the Simple Object Access Protocol (SOAP) specification, provides readers with insight into this emerging XML messaging technology for bridging COM, CORBA, EJB, and the Web. Readers acquire a better understanding of XML's inner workings and come to see how its platform, language, and vendor independence--along with its accessibility--make it an extraordinarily effective solution for software interoperation. 0201709147B04062001 |
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