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Titlebook: Health Promotion: Professional Perspectives; Angela Scriven (Course Director for the MSc in Hea Textbook 1996Latest edition Macmillan Publ

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Keith Tonesv‘s algorithmic notion of randomness. Based on these approximations, a new set of machine learning algorithms have been developed that can be used to make predictions and to estimate their confidence and credibility in high-dimensional spaces under the usual assumption that the data are independent
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Lee Adamsachine learning, and unlike other state-of-the-art methods, .Algorithmic Learning in a Random World. describes recent theoretical and experimental developments in building computable approximations to Kolmogorov‘s algorithmic notion of randomness. Based on these approximations, a new set of machine
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Penny Astrop,Jonathan McWilliamutational processes by business entities which allow making assessments, predictions and decisions about consumers. The phenomenon represents the last stage of the evolution of marketing technologies caused mainly by the increase in consumer data and powerful new applications based on machine learni
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Judy Orme,Cheryl Wrighte in the marketplace for their characteristics. The analysis will review the notion enshrined in current EU unfair commercial laws and will point out its conceptual limitations. It will then revisit the notion in light of the contemporary discussion on consumer vulnerability and present conceptual e
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Linda Ewlesstribute commercial content, products, and website layouts for optimising business measures. While possibly contributing to a more pleasant customer experience and more straightforward choice, these developments fundamentally change business-to-consumer relations in that by adopting a radical behavi
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Sue Latterstribute commercial content, products, and website layouts for optimising business measures. While possibly contributing to a more pleasant customer experience and more straightforward choice, these developments fundamentally change business-to-consumer relations in that by adopting a radical behavi
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