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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Data Science in the Cloud with Microsoft Azure Machine Learning and R (Repost)

    Posted By: insetes
    Data Science in the Cloud with Microsoft Azure Machine Learning and R (Repost)

    Data Science in the Cloud with Microsoft Azure Machine Learning and R By Stephen Elston
    2015 | 65 Pages | ISBN: 1491919590 | PDF | 2 MB


    Azure ML, Microsoft’s Azure Machine Learning cloud platform, provides an easy-to-use and powerful set of cloud-based data transformation and machine-learning tools. With this O’Reilly report, you’ll learn the basics of manipulating data and constructing and evaluating models in Azure ML, illustrated by a complete data science example. Author Stephen Elston from Quantia Analytics performs the required data manipulation throughout the report, and then constructs and evaluates a regression model for a bicycle-sharing-demand dataset. You can follow along by downloading the code and data provided. You’ll then learn how to publish your trained models as web services in the Azure cloud. This report will show you how: Azure ML provides a powerful environment for the creation and cloud deployment of predictive analytic solutions R code is readily integrated into the Azure ML workflow Careful development, selection, and filtering of features is the key to most data science problems Recognizing business goals and requirements is essential to creating a successful data science solution A complete understanding of residuals is essential to the evaluation of predictive model performance Stephen F. Elston, Managing Director of Quantia Analytics, LLC, is a big-data geek and data scientist, with over two decades of experience using R and S/SPLUS for predictive analytics and machine learning. He’s been developing, selling, and supporting analytics software for over two decades.