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Tag: Gruyter

  • Machine Learning for Sustainable Development (De Gruyter Frontiers in



    Machine Learning for Sustainable Development (De Gruyter Frontiers in

    Price : 116.00

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    Sustainable Development is a critical issue facing our world today, and one of the key tools we have at our disposal to address it is machine learning. De Gruyter Frontiers in Machine Learning for Sustainable Development is a groundbreaking platform that brings together experts from various disciplines to explore how machine learning can be leveraged to promote sustainable development.

    Machine learning, a subset of artificial intelligence, involves the use of algorithms and statistical models to enable computers to learn from and make predictions or decisions based on data. This technology has the potential to revolutionize the way we approach sustainability by providing insights and solutions that were previously unattainable.

    By harnessing the power of machine learning, we can analyze vast amounts of data to identify patterns, trends, and correlations that can help us make informed decisions about resource management, environmental conservation, and climate change mitigation. Machine learning algorithms can also be used to optimize processes and systems, reduce waste, and improve efficiency in various sectors, such as agriculture, energy, transportation, and water management.

    De Gruyter Frontiers in Machine Learning for Sustainable Development aims to showcase cutting-edge research and applications in this field, highlighting the potential of machine learning to drive positive change and create a more sustainable future for all. Join us on this exciting journey as we explore the intersection of technology and sustainability and work towards a more resilient and equitable world.
    #Machine #Learning #Sustainable #Development #Gruyter #Frontiers,machine learning: an applied mathematics introduction

  • Rechtsfragen Des Cloud Computing (Hardback) de Gruyter Praxishandbuch

    Rechtsfragen Des Cloud Computing (Hardback) de Gruyter Praxishandbuch



    Rechtsfragen Des Cloud Computing (Hardback) de Gruyter Praxishandbuch

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    In this post, we will discuss the book “Rechtsfragen Des Cloud Computing (Hardback) de Gruyter Praxishandbuch” which explores the legal issues surrounding cloud computing.

    Cloud computing has become an integral part of modern business operations, allowing companies to access and store data remotely on servers maintained by third-party providers. While cloud computing offers many benefits, it also raises a number of legal concerns related to data protection, privacy, intellectual property rights, and contractual obligations.

    This book, published by de Gruyter, provides a comprehensive overview of the legal challenges associated with cloud computing. It covers topics such as data ownership and control, compliance with data protection regulations, liability for data breaches, and the negotiation of cloud service agreements.

    The authors of this book are experts in the field of technology law and offer practical advice and insights for businesses navigating the legal landscape of cloud computing. Whether you are a legal professional, IT manager, or business owner, this book is a valuable resource for understanding the legal implications of cloud computing.

    “Rechtsfragen Des Cloud Computing (Hardback) de Gruyter Praxishandbuch” is a must-read for anyone involved in the implementation or management of cloud computing services. Get your copy today and stay informed about the legal issues surrounding this rapidly evolving technology.
    #Rechtsfragen #Des #Cloud #Computing #Hardback #Gruyter #Praxishandbuch, Cloud Computing

  • Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics (De Gruyter Series on the Internet of Things)

    Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics (De Gruyter Series on the Internet of Things)


    Price: $164.99 – $105.46
    (as of Dec 24,2024 07:30:22 UTC – Details)




    Publisher ‏ : ‎ De Gruyter; 1st edition (March 7, 2022)
    Language ‏ : ‎ English
    Hardcover ‏ : ‎ 163 pages
    ISBN-10 ‏ : ‎ 3110755335
    ISBN-13 ‏ : ‎ 978-3110755336
    Item Weight ‏ : ‎ 14.5 ounces
    Dimensions ‏ : ‎ 6.69 x 0.44 x 9.61 inches


    Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics (De Gruyter Series on the Internet of Things)

    The integration of Artificial Intelligence (AI) and Internet of Things (IoT) technologies has revolutionized various industries, including transportation and logistics. In the book “Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics,” published by De Gruyter Series on the Internet of Things, experts delve into the innovative ways AI is being utilized in smart environments to enhance efficiency and productivity.

    From autonomous vehicles and drones to predictive maintenance and route optimization, AI of Things is transforming the way goods are transported and delivered. Real-time data analysis and machine learning algorithms enable companies to make informed decisions, reduce costs, and improve customer satisfaction.

    This comprehensive book explores the latest advancements in AI of Things in transportation and logistics, covering topics such as:

    – Intelligent transportation systems
    – Smart warehouses and supply chain management
    – Fleet management and vehicle routing
    – Predictive analytics for maintenance and inventory management
    – Enhanced security and risk mitigation strategies

    Whether you are a researcher, industry professional, or technology enthusiast, this book provides valuable insights into the potential of AI of Things in smart environments. Stay ahead of the curve and discover how these cutting-edge technologies are shaping the future of transportation and logistics.

    Don’t miss out on this essential resource for understanding the intersection of AI and IoT in the modern world. Get your copy of “Artificial Intelligence of Things in Smart Environments: Applications in Transportation and Logistics” today.
    #Artificial #Intelligence #Smart #Environments #Applications #Transportation #Logistics #Gruyter #Series #Internet

  • Machine Learning for Cyber Security (De Gruyter Series on the Applications of…

    Machine Learning for Cyber Security (De Gruyter Series on the Applications of…



    Machine Learning for Cyber Security (De Gruyter Series on the Applications of…

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    Machine Learning for Cyber Security (De Gruyter Series on the Applications of Artificial Intelligence)

    In today’s digital age, cyber security threats are becoming increasingly sophisticated and pervasive. Traditional security measures are no longer enough to protect against these evolving threats, which is why machine learning is gaining traction as a powerful tool in the fight against cyber attacks.

    Machine learning algorithms can analyze vast amounts of data, detect patterns, and make predictions to identify potential security breaches before they occur. By leveraging the power of artificial intelligence, organizations can proactively defend against cyber threats and strengthen their overall security posture.

    The De Gruyter Series on the Applications of Artificial Intelligence explores the intersection of machine learning and cyber security, offering insights into the latest advancements in this field. From anomaly detection to threat intelligence, this series provides practical guidance for implementing machine learning techniques to enhance security defenses.

    Whether you’re a seasoned cyber security professional or a newcomer to the field, Machine Learning for Cyber Security is a must-read for anyone looking to stay ahead of the curve in the ever-changing landscape of digital security. Stay tuned for more updates and insights from the De Gruyter Series on the Applications of Artificial Intelligence.
    #Machine #Learning #Cyber #Security #Gruyter #Series #Applications #of..

  • Mathematics of Deep Learning: An Introduction (De Gruyter Textbook) – GOOD

    Mathematics of Deep Learning: An Introduction (De Gruyter Textbook) – GOOD



    Mathematics of Deep Learning: An Introduction (De Gruyter Textbook) – GOOD

    Price : 44.95

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    Mathematics of Deep Learning: An Introduction (De Gruyter Textbook) – A Must-Have Resource for Understanding Deep Learning!

    Are you interested in delving into the world of deep learning but find the complex mathematical concepts daunting? Look no further than the comprehensive textbook “Mathematics of Deep Learning: An Introduction” from De Gruyter.

    This groundbreaking textbook offers a clear and concise introduction to the mathematical foundations of deep learning, making it accessible to students, researchers, and practitioners alike. The book covers essential topics such as linear algebra, calculus, probability theory, and optimization, providing a solid grounding in the mathematical principles that underpin deep learning algorithms.

    With a focus on both theory and practical applications, “Mathematics of Deep Learning” equips readers with the tools they need to understand, implement, and innovate in the rapidly evolving field of deep learning. Whether you are a beginner looking to build a strong mathematical foundation or an experienced practitioner seeking to deepen your understanding, this textbook has something to offer for everyone.

    Don’t miss out on this invaluable resource for mastering the mathematics of deep learning. Get your copy of “Mathematics of Deep Learning: An Introduction” today and take your understanding of deep learning to the next level!
    #Mathematics #Deep #Learning #Introduction #Gruyter #Textbook #GOOD

  • The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond (De Gruyter Textbook)

    The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond (De Gruyter Textbook)


    Price: $70.99 – $43.74
    (as of Dec 16,2024 08:24:36 UTC – Details)




    Publisher ‏ : ‎ De Gruyter; 1st edition (May 20, 2024)
    Language ‏ : ‎ English
    Perfect Paperback ‏ : ‎ 210 pages
    ISBN-10 ‏ : ‎ 3111288471
    ISBN-13 ‏ : ‎ 978-3111288475
    Item Weight ‏ : ‎ 2.31 pounds
    Dimensions ‏ : ‎ 6.69 x 0.44 x 9.61 inches


    Are you interested in diving deep into the mathematics behind machine learning algorithms? Look no further than “The Mathematics of Machine Learning: Lectures on Supervised Methods and Beyond” by De Gruyter Textbook. This comprehensive textbook provides a thorough introduction to the mathematical foundations of supervised machine learning methods, covering topics such as linear regression, logistic regression, support vector machines, decision trees, and more.

    Whether you’re a student looking to expand your knowledge or a practitioner seeking to deepen your understanding of the underlying principles of machine learning, this book is a valuable resource. With clear explanations, detailed examples, and exercises to test your understanding, “The Mathematics of Machine Learning” is a must-have for anyone looking to master the mathematical aspects of this exciting field. Get your copy today and take your machine learning skills to the next level!
    #Mathematics #Machine #Learning #Lectures #Supervised #Methods #Gruyter #Textbook

  • Mathematics of Deep Learning: An Introduction (De Gruyter Textbook)

    Mathematics of Deep Learning: An Introduction (De Gruyter Textbook)


    Price: $65.99 – $40.47
    (as of Dec 15,2024 17:38:25 UTC – Details)




    Publisher ‏ : ‎ De Gruyter; 1st edition (April 27, 2023)
    Language ‏ : ‎ English
    Perfect Paperback ‏ : ‎ 132 pages
    ISBN-10 ‏ : ‎ 3111024318
    ISBN-13 ‏ : ‎ 978-3111024318
    Item Weight ‏ : ‎ 8 ounces
    Dimensions ‏ : ‎ 7 x 0.25 x 10 inches


    The field of deep learning has been rapidly growing in recent years, with applications in a wide range of fields such as computer vision, natural language processing, and robotics. However, understanding the mathematical principles behind deep learning can be challenging for many students and practitioners.

    In our new textbook, “Mathematics of Deep Learning: An Introduction,” published by De Gruyter, we aim to provide a comprehensive overview of the mathematical foundations of deep learning. This book is designed for students and researchers who are interested in gaining a deeper understanding of the underlying principles of deep learning algorithms.

    The book covers a wide range of topics, including linear algebra, calculus, probability theory, and optimization, all of which are essential for understanding how deep learning models work. Each chapter includes detailed explanations, examples, and exercises to help readers grasp the key concepts and techniques.

    Whether you are a student looking to learn more about the mathematical aspects of deep learning or a practitioner seeking to enhance your knowledge and skills, “Mathematics of Deep Learning: An Introduction” will provide you with the necessary tools to navigate the complex world of deep learning algorithms.

    Get your copy of “Mathematics of Deep Learning: An Introduction” today and unlock the power of mathematics in deep learning!
    #Mathematics #Deep #Learning #Introduction #Gruyter #Textbook