Advances in Artificial-Business Analytics and Quantum Machine Learning

Advances in Artificial-Business Analytics and Quantum Machine Learning PDF Author: K. C. Santosh
Publisher: Springer Nature
ISBN: 9819725089
Category :
Languages : en
Pages : 810

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Book Description

Advances in Artificial-Business Analytics and Quantum Machine Learning

Advances in Artificial-Business Analytics and Quantum Machine Learning PDF Author: K. C. Santosh
Publisher: Springer Nature
ISBN: 9819725089
Category :
Languages : en
Pages : 810

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Book Description


Advances in Artificial-Business Analytics and Quantum Machine Learning

Advances in Artificial-Business Analytics and Quantum Machine Learning PDF Author: KC Santosh
Publisher: Springer Nature
ISBN: 9819748607
Category :
Languages : en
Pages : 336

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Book Description


Quantum Machine Learning

Quantum Machine Learning PDF Author: Peter Wittek
Publisher: Academic Press
ISBN: 0128010991
Category : Science
Languages : en
Pages : 176

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Book Description
Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it focuses on providing a synthesis that explains the most important machine learning algorithms in a quantum framework. Theoretical advances in quantum computing are hard to follow for computer scientists, and sometimes even for researchers involved in the field. The lack of a step-by-step guide hampers the broader understanding of this emergent interdisciplinary body of research. Quantum Machine Learning sets the scene for a deeper understanding of the subject for readers of different backgrounds. The author has carefully constructed a clear comparison of classical learning algorithms and their quantum counterparts, thus making differences in computational complexity and learning performance apparent. This book synthesizes of a broad array of research into a manageable and concise presentation, with practical examples and applications. - Bridges the gap between abstract developments in quantum computing with the applied research on machine learning - Provides the theoretical minimum of machine learning, quantum mechanics, and quantum computing - Gives step-by-step guidance to a broader understanding of this emergent interdisciplinary body of research

Advancement in Business Analytics Tools for Higher Financial Performance

Advancement in Business Analytics Tools for Higher Financial Performance PDF Author: Gharoie Ahangar, Reza
Publisher: IGI Global
ISBN: 1668483882
Category : Business & Economics
Languages : en
Pages : 338

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Book Description
The relentless growth of data in financial markets has boosted the demand for more advanced analytical tools to facilitate and improve financial planning. The ability to constructively use this data is limited for managers and investors without the proper theoretical support. Within this context, there is an unmet demand for combining analytical finance methods with business analytics topics to inform better investment decisions. Advancement in Business Analytics Tools for Higher Financial Performance explores the financial applications of business analytics tools that can help financial managers and investors to better understand financial theory and improve institutional investment practices. This book explores the value extraction process using more accurate financial data via business analytical tools to help investors and portfolio managers develop more modern financial planning processes. Covering topics such as financial markets, investment analysis, and statistical tools, this book is ideal for accountants, data analysts, researchers, students, business professionals, academicians, and more.

Limitations and Future Applications of Quantum Cryptography

Limitations and Future Applications of Quantum Cryptography PDF Author: Kumar, Neeraj
Publisher: IGI Global
ISBN: 1799866793
Category : Computers
Languages : en
Pages : 305

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Book Description
The concept of quantum computing is based on two fundamental principles of quantum mechanics: superposition and entanglement. Instead of using bits, qubits are used in quantum computing, which is a key indicator in the high level of safety and security this type of cryptography ensures. If interfered with or eavesdropped in, qubits will delete or refuse to send, which keeps the information safe. This is vital in the current era where sensitive and important personal information can be digitally shared online. In computer networks, a large amount of data is transferred worldwide daily, including anything from military plans to a country’s sensitive information, and data breaches can be disastrous. This is where quantum cryptography comes into play. By not being dependent on computational power, it can easily replace classical cryptography. Limitations and Future Applications of Quantum Cryptography is a critical reference that provides knowledge on the basics of IoT infrastructure using quantum cryptography, the differences between classical and quantum cryptography, and the future aspects and developments in this field. The chapters cover themes that span from the usage of quantum cryptography in healthcare, to forensics, and more. While highlighting topics such as 5G networks, image processing, algorithms, and quantum machine learning, this book is ideally intended for security professionals, IoT developers, computer scientists, practitioners, researchers, academicians, and students interested in the most recent research on quantum computing.

Advances in Artificial-Business Analytics and Quantum Machine Learning

Advances in Artificial-Business Analytics and Quantum Machine Learning PDF Author: KC Santosh
Publisher: Springer
ISBN: 9789819748594
Category : Computers
Languages : en
Pages : 0

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Book Description
The 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 the topics such as artificial intelligence and business analytics, virtual/augmented reality, quantum information systems, cybersecurity, data science, and machine learning. The book is useful for researchers and professionals interested in the broad field of artificial intelligence engineering.

Machine Learning with Quantum Computers

Machine Learning with Quantum Computers PDF Author: Maria Schuld
Publisher: Springer Nature
ISBN: 3030830985
Category : Science
Languages : en
Pages : 321

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Book Description
This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data. Among the topics discussed are parameterized quantum circuits, hybrid optimization, data encoding, quantum feature maps and kernel methods, quantum learning theory, as well as quantum neural networks. The book aims at an audience of computer scientists and physicists at the graduate level onwards. The second edition extends the material beyond supervised learning and puts a special focus on the developments in near-term quantum machine learning seen over the past few years.

Supervised Learning with Quantum Computers

Supervised Learning with Quantum Computers PDF Author: Maria Schuld
Publisher: Springer
ISBN: 3319964240
Category : Science
Languages : en
Pages : 293

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Book Description
Quantum machine learning investigates how quantum computers can be used for data-driven prediction and decision making. The books summarises and conceptualises ideas of this relatively young discipline for an audience of computer scientists and physicists from a graduate level upwards. It aims at providing a starting point for those new to the field, showcasing a toy example of a quantum machine learning algorithm and providing a detailed introduction of the two parent disciplines. For more advanced readers, the book discusses topics such as data encoding into quantum states, quantum algorithms and routines for inference and optimisation, as well as the construction and analysis of genuine ``quantum learning models''. A special focus lies on supervised learning, and applications for near-term quantum devices.

Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning PDF Author: Andrew D. Chapman
Publisher: The Autodidact’s Toolkit
ISBN:
Category : Computers
Languages : en
Pages : 452

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Book Description
Are you ready to embark on a journey into the future of technology? Dive into the world of Artificial Intelligence (AI) and Machine Learning (ML) with this comprehensive guide that demystifies the complex and empowers you to harness the potential of intelligent machines. Begin your exploration by grasping the core concepts, history, and terminology of AI and ML. Discover the fascinating evolution of these transformative technologies and their real-world impact on diverse industries. Move beyond theory into practical applications. Learn how to build and optimize machine learning models, explore advanced techniques, and gain insights into the revolutionary realm of deep learning. Understand the ethical and societal implications of AI. Tackle issues of fairness, privacy, employment, and regulation, and learn how responsible AI practices can shape a better future. Discover the pivotal role of data in AI and ML. Explore data collection, preprocessing, big data, and visualization, and gain hands-on experience with real-world data science projects. Keep up with the latest advancements in AI technologies and platforms. Explore cloud-based services, edge computing, quantum computing, and the integration of AI with the Internet of Things (IoT). Learn how AI can transform your organization. Develop AI strategies, implement AI in marketing, supply chain, and HR, and gain insights into the future of business in the AI era. This book is your key to unlocking the limitless potential of AI and ML. Whether you're a student, professional, or enthusiast, you'll gain a holistic understanding of these game-changing technologies and be inspired to contribute to their ongoing evolution.

Unleashing the Power of Basic Science in Business

Unleashing the Power of Basic Science in Business PDF Author: Trivedi, Sonal
Publisher: IGI Global
ISBN:
Category : Business & Economics
Languages : en
Pages : 454

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Book Description
Today's fast-evolving business landscape has created a significant challenge - the gap between basic scientific research and commercial innovation. Groundbreaking discoveries in laboratories need to translate into sustainable business solutions. The interplay between foundational scientific principles and their application in the commercial sphere is complex, making it difficult to bridge the gap. To tackle this problem, the book Unleashing the Power of Basic Science in Business offers a comprehensive exploration of how basic science can drive sustainable innovation in business. By bridging the gap between theory and application, this book provides a roadmap for researchers, academicians, and professionals in basic science, engineering, and management to understand and implement basic science, sustainability, and innovation in business. Through a diverse collection of chapters, readers gain insights into collaborative forces in innovation, ethical dimensions of basic science in commercial contexts, and the operationalization of commercial innovation. Unleashing the Power of Basic Science in Business guides navigating the sustainable commercialization expedition and cultivating environments for sustainable commercial success.