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Machine learning algorithms have been embedded into data mining pipelines which can combine them with classical statistical strategies to extract knowledge from data Within the EUfunded MOSAIC project a data mining pipeline has been used to derive a set of predictive models of type 2 diabetes mellitus T2DM complications based on
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Jun 15 2015nbsp018332Entity mining is one of the hot topics in the area of web mining and information retrieval In this talk I will discuss in brief three interesting entity linking problems which apply various machine learning techniques Entity linking Dominant Entity Identification and Cricket Linking
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List of Public Data Sources Fit for Machine Learning Below is a wealth of links pointing out to free and open datasets that can be used to build predictive models We hope that our readers will make the best use of these by gaining insights into the way The World
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Ravindrans AI journey began in the late 1980s when he was doing his undergraduation from Thiagarajar College According to his LinkedIn profile his current research interest span the broader area of machine learning ranging from spatiotemporal abstraction in reinforcement learning to social network analysis and data miningMuch of his work is directed toward understanding interactions
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Predicting Earnings Manipulation by Indian Firms Using Machine Learning Algorithms Case Solution Saurabh Rishi the primary information researcher at MCA Technologies was appointed the job of establishing an usage case for anticipating earnings controls He was mindful of designs such as Benfords law and Beneish design utilized to get predicting earnings adjustments nevertheless he
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Its as good a time as any to keep yourself updated especially for those who are in the everchanging technology field If youre interested in or working as a professional in Data Science Machine Learning and allied fields weve compiled a list of top 11 books that are available free that you must catch up on gloomy rainy days
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Machine Learning for Algorithmic Trading Predictive models to extract signals from market and alternative data for systematic trading strategies with Python 2nd Edition Data Mining Inference and Prediction Second Edition Springer Series in Statistics Trevor Hastie
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Aug 11 2020nbsp018332Indian language machine translation performance is hampered due to the lack of large scale multilingual sentence aligned corpora and robust benchmarks Through this paper we provide and analyse an automated framework to obtain such a corpus for Indian language neural machine translation NMT systems Our pipeline consists of a baseline NMT system a retrieval module and an alignment
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Alluvial gold refers to the type of gold dust found in that kind of soil When the beds of rivers or streams are scooped and panned for gold dust the product is referred to as alluvial gold Best way to extract such alluvialsoil gold is using gravity separation
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The beneficiation of tantalite ores usually involves preconcentration primary concentration and concentrate clean up The choice of any or all of these processes would depend on the nature of the ore p articularly the content of Ta2O5 in the o re r elative to
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The gravity separation method is based on the difference in the relative density of minerals usually called specific gravity to sort minerals When the mineral passes through the highvoltage electric field of the electric separator the electrostatic force acting on the mineral is different due to the difference in the conductivity of
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