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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.

    Power BI: Integrating AI

    Posted By: lucky_aut
    Power BI: Integrating AI

    Power BI: Integrating AI
    Released: 07/2025
    Duration: 3h 37m 54s | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 445.98 MB
    Genre: eLearning | Language: English

    R tidymodels part 1: Introduction

    Posted By: lucky_aut
    R tidymodels part 1: Introduction

    R tidymodels part 1: Introduction
    Published 7/2025
    Duration: 14h 8m | .MP4 1920x1080 30 fps(r) x| AAC, 44100 Hz, 2ch | 5.89 GB
    Genre: eLearning | Language: English

    R, Data Science, tidymodels, tidyverse, Machine Learning, Modeling, Statistics, Regression, Predictive Modeling

    R tidymodels part 2: Beyond linear regression

    Posted By: lucky_aut
    R tidymodels part 2: Beyond linear regression

    R tidymodels part 2: Beyond linear regression
    Published 7/2025
    Duration: 10h 17m | .MP4 1920x1080 30 fps(r) x| AAC, 44100 Hz, 2ch | 5.10 GB
    Genre: eLearning | Language: English

    R, Data Science, tidymodels, Machine Learning, Statistics, Regression, Predictive Modeling, XGBoost, LightGBM, RStudio

    Sports Analytics: Data-Driven Sports and Decision Intelligence

    Posted By: Free butterfly
    Sports Analytics: Data-Driven Sports and Decision Intelligence

    Sports Analytics: Data-Driven Sports and Decision Intelligence by A Mansurali, P. Mary Jeyanthi, Dieu Hack-Polay
    English | September 24, 2024 | ISBN: 3031635728 | 248 pages | MOBI | 5.49 Mb

    Artificial Intelligence, Optimization, and Data Sciences in Sports

    Posted By: Free butterfly
    Artificial Intelligence, Optimization, and Data Sciences in Sports

    Artificial Intelligence, Optimization, and Data Sciences in Sports by Maude J. Blondin, Iztok Fister Jr., Panos M. Pardalos
    English | January 31, 2025 | ISBN: 3031760468 | 364 pages | MOBI | 11 Mb

    Principles of Machine Learning: The Three Perspectives

    Posted By: Free butterfly
    Principles of Machine Learning: The Three Perspectives

    Principles of Machine Learning: The Three Perspectives by Wenmin Wang
    English | October 27, 2024 | ISBN: 9819753325 | 562 pages | MOBI | 32 Mb

    Advances in Artificial-Business Analytics and Quantum Machine Learning (Repost)

    Posted By: AvaxGenius
    Advances in Artificial-Business Analytics and Quantum Machine Learning (Repost)

    Advances in Artificial-Business Analytics and Quantum Machine Learning: Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 1 by K. C. Santosh, Sandeep Kumar Sood, Hari Mohan Pandey, Charu Virmani
    English | EPUB (True) | 2024 | 810 Pages | ISBN : 9819725070 | 102.6 MB

    This book presents select proceedings of the 3rd International Conference on “Artificial-Business Analytics, Quantum and Machine Learning: Trends, Perspectives, and Prospects” (Com-IT-Con 2023) held at the Manav Rachna University in July 2023. It covers topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cyber security, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of communication engineering.

    Exploring Data Science with .NET using Polyglot Notebooks & ML.NET

    Posted By: IrGens
    Exploring Data Science with .NET using Polyglot Notebooks & ML.NET

    Exploring Data Science with .NET using Polyglot Notebooks & ML.NET
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 53m | 222 MB
    Instructor: Matt Eland

    Information Technologies in the Design of Aerospace Engineering

    Posted By: Free butterfly
    Information Technologies in the Design of Aerospace Engineering

    Information Technologies in the Design of Aerospace Engineering (Studies in Systems, Decision and Control) by Mykola Nechyporuk, Volodymyr Pavlikov, Dmytro Krytskyi
    English | November 11, 2023 | ISBN: 3031435788 | 290 pages | PDF | 18 Mb

    Deep Learning Model Explainability

    Posted By: IrGens
    Deep Learning Model Explainability

    Deep Learning Model Explainability
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 7m | 147 MB
    Instructor: Yasir Khan

    Ensemble Methods for Machine Learning, Video Edition

    Posted By: IrGens
    Ensemble Methods for Machine Learning, Video Edition

    Ensemble Methods for Machine Learning, Video Edition
    .MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 11h 5m | 1.61 GB
    Author: Gautam Kunapuli

    Metaheuristics for Finding Multiple Solutions (Repost)

    Posted By: AvaxGenius
    Metaheuristics for Finding Multiple Solutions (Repost)

    Metaheuristics for Finding Multiple Solutions by Mike Preuss
    English | PDF,EPUB | 2021 | 322 Pages | ISBN : 3030795527 | 103.1 MB

    This book presents the latest trends and developments in multimodal optimization and niching techniques. Most existing optimization methods are designed for locating a single global solution.
    However, in real-world settings, many problems are “multimodal” by nature, i.e., multiple satisfactory solutions exist. It may be desirable to locate several such solutions before deciding which one to use. Multimodal optimization has been the subject of intense study in the field of population-based meta-heuristic algorithms, e.g., evolutionary algorithms (EAs), for the past few decades. These multimodal optimization techniques are commonly referred to as “niching” methods, because of the nature-inspired “niching” effect that is induced to the solution population targeting at multiple optima. Many niching methods have been developed in the EA community. Some classic examples include crowding, fitness sharing, clearing, derating, restricted tournament selection, speciation, etc. Nevertheless, applying these niching methods to real-world multimodal problems often encounters significant challenges.

    Internet of Things – The Call of the Edge: Everything Intelligent Everywhere (Repost_

    Posted By: AvaxGenius
    Internet of Things – The Call of the Edge: Everything Intelligent Everywhere (Repost_

    Internet of Things – The Call of the Edge: Everything Intelligent Everywhere by Ovidiu Vermesan
    English | PDF | 2020 | 394 Pages | ISBN : 8770221960 | 151 MB

    This book provides an overview of the Internet of Things (IoT) - covering new ideas, concepts, research and innovation to enable the development of IoT technologies in a global context. The work is intended as a standalone book in a series covering the activities of the Internet of Things European Research Cluster (IERC) - including research, technological innovation, validation, and deployment.

    Machine Learning for Practical Decision Making (Repost)

    Posted By: AvaxGenius
    Machine Learning for Practical Decision Making (Repost)

    Machine Learning for Practical Decision Making: A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics by Christo El Morr , Manar Jammal , Hossam Ali-Hassan , Walid EI-Hallak
    English | EPUB(True) | 2022 | 475 Pages | ISBN : 3031169891 | 124.5 MB

    This book provides a hands-on introduction to Machine Learning (ML) from a multidisciplinary perspective that does not require a background in data science or computer science. It explains ML using simple language and a straightforward approach guided by real-world examples in areas such as health informatics, information technology, and business analytics. The book will help readers understand the various key algorithms, major software tools, and their applications. Moreover, through examples from the healthcare and business analytics fields, it demonstrates how and when ML can help them make better decisions in their disciplines.

    40 Algorithms Every Data Scientist Should Know: Navigating through essential AI and ML algorithms (English Edition)

    Posted By: Free butterfly
    40 Algorithms Every Data Scientist Should Know: Navigating through essential AI and ML algorithms (English Edition)

    40 Algorithms Every Data Scientist Should Know: Navigating through essential AI and ML algorithms (English Edition) by Jürgen Weichenberger, Huw Kwon
    English | September 7, 2024 | ISBN: 9355519834 | 588 pages | MOBI | 1.84 Mb