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Optimize the performance of your systems with practical experiments used by engineers in the world’s most competitive industries. In Experimentation for Engineers: From A/B testing to Bayesian optimization you will learn how to: Design, run, and analyze an A/B test Break the "feedback loops" caused by periodic retraining of ML models Increase experimentation rate with multi-armed bandits Tune multiple parameters experimentally with Bayesian optimization Clearly define business metrics used for decision-making Identify and avoid the common pitfalls of experimentation Experimentation for Engineers: From A/B testing to Bayesian optimization is a toolbox of techniques for evaluating new featur...
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Public Private Partnerships (PPPs) promise much and present an exciting policy option. Yet as this Handbook reveals there is still much debate about the meaning of partnership, and the degree to which potential advantages are in fact being delivered. In this timely Handbook, leading scholars from around the world explore the challenges presented by infrastructure PPPs, and contemplate what lies ahead as governments balance the need to provide innovative new infrastructure against the requirement for good public governance. This Handbook builds on a range of exciting theoretical lenses that span several disciplinary boundaries. It presents innovative insights and informed perspectives from an international base of empirical evidence. This essential Handbook will prove an invaluable reference work for academics, advanced post-graduate students and commentators of PPPs, as well as professionals, infrastructure regulators and government policy advisors.
pt. 1. List of patentees.--pt. 2. Index to subjects of inventions.