Saxena anshul (71 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: Brand New. 48 pages. 9.00x6.00x0.12 inches. In Stock.

PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condizione: Brand New. 53 pages. 11.00x8.50x0.14 inches. In Stock.

Paperback. Condizione: Brand New. 90 pages. 8.50x5.50x0.23 inches. In Stock.

Paperback. Condizione: Brand New. 25 pages. 9.00x6.00x0.06 inches. In Stock.

paperback. Condizione: Very Good.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

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Soft cover. Condizione: As New. No Jacket (as published). Some hints on helping children with Autistic Spectrum Disorders. A once read copy with some minor signs of handling externally. The pages are clean and the binding tight. Available for prompt dispatch from the UK. 6"x9".

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Condizione: New.

Paperback or Softback. Condizione: New. Financial Modeling Using Quantum Computing: Design and manage quantum machine learning solutions for financial analysis and decision making. Book.

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Paperback. Condizione: New. Achieve optimized solutions for real-world financial problems using quantum machine learning algorithmsKey FeaturesLearn to solve financial analysis problems by harnessing quantum powerUnlock the benefits of quantum machine learning and its potential to solve problemsTrain QML to solve portfolio optimization and risk analytics problemsBook DescriptionQuantum computing has the potential to revolutionize the computing paradigm. By integrating quantum algorithms with artificial intelligence and machine learning, we can harness the power of qubits to deliver comprehensive and optimized solutions for intricate financial problems.This book offers step-by-step guidance on using various quantum algorithm frameworks within a Python environment, enabling you to tackle business challenges in finance. With the use of contrasting solutions from well-known Python libraries with quantum algorithms, you'll discover the advantages of the quantum approach. Focusing on clarity, the authors expertly present complex quantum algorithms in a straightforward, yet comprehensive way. Throughout the book, you'll become adept at working with simple programs illustrating quantum computing principles. Gradually, you'll progress to more sophisticated programs and algorithms that harness the full power of quantum computing.By the end of this book, you'll be able to design, implement and run your own quantum computing programs to turbocharge your financial modelling.What you will learnExplore framework, model and technique deployed for Quantum ComputingUnderstand the role of QC in financial modeling and simulationsApply Qiskit and Pennylane framework for financial modelingBuild and train models using the most well-known NISQ algorithmsExplore best practices for writing QML algorithmsUse QML algorithms to understand and solve data mining problemsWho this book is forThis book is for financial practitioners, quantitative analysts, or developers; looking to bring the power of quantum computing to their organizations. This is an essential resource written for finance professionals, who want to harness the power of quantum computers for solving real-world financial problems. A basic understanding of Python, calculus, linear algebra, and quantum computing is a prerequisite.…

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Paperback. Condizione: New. This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI. The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI's role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector. By the end of this book you will understand Generative AI's present and future role in the BFSI sector. What You Will LearnKnow what Generative AI is and its applications in the BFSI sectorUnderstand deep learning and its significance in generative modelsAnalyze the AI-driven techniques in portfolio management and customer-centric solutionsKnow the future of investment banking and trading with AIKnow the challenges of integrating AI into the BFSI sector Who This Book Is ForProfessionals in the BFSI and IT sectors, including system administrators and programmers. …