Titlebook: Data Analytics and Machine Learning; Navigating the Big D Pushpa Singh,Asha Rani Mishra,Payal Garg Book 2024 The Editor(s) (if applicable)

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acolyte

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Eva Anduiza,Marc Guinjoan,Guillem Ricos customers to optimize their sales strategies which mainly includes focusing more on valuable customers which is based on the amount of purchase made by customer rather than the traditional way of recommending a product. In the modern recommendation systems different parameters are synthesized for

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News, Symbols, and European Identitynction and make choices. Business and marketing, healthcare, finance, manufacturing and supply chains, transportation and logistics, energy utilisation, are only a few of the disciplines where their practical applications are summarised in this chapter. Precision medicine has evolved greatly via gen

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Toshifumi Hirata,Minoru Morishitaining on internet data for information, engagement, task assistance, and creative insights.AI Tool’s core is a transformer neural network, renowned for capturing text’s long-range dependencies. With 175 billion parameters, it’s among the most extensive LLMs to date. This research endeavors to presen

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Yuki Nakata,Andi Suwirta,Mina Hattorih, surgical planning, and diagnostic decision support. All are complex issues with important applications. Machines and humans struggle to split non solitary nodules with uncertain boundaries. Since segmentation has distinct limits, single nodules are easier to divide. Several researchers have propo

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Masahiro Teshima,Ramayah KumaraguruThis chapter offers a brief overview of their practical uses, illuminating how these technologies are reshaping markets and driving creativity. The cornerstone, data analytics, is studied first, emphasizing its capacity to extract useful insights from a variety of sources. To demonstrate how Data An