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Introduction to the Art of Programming Using Scala

With its flexibility for programming both small and large projects Scala is an ideal language for teaching beginning programming. Yet there are no textbooks on Scala currently available for the CS1/CS2 levels. Introduction to the Art of Programming Using Scala presents many concepts from CS1 and CS2 using a modern JVM-based language that works well for both programming in the small and programming in the large. The book progresses from true programming in the small to more significant projects later leveraging the full benefits of object orientation. It first focuses on fundamental problem solving and programming in the small using the REPL and scripting environments. It covers basic logic and problem decomposition and explains how to use GUIs and graphics in programs. The text then illustrates the benefits of object-oriented design and presents a large collection of basic data structures showing different implementations of key ADTs along with more atypical data structures. It also introduces multithreading and networking to provide further motivating examples. By using Scala as the language for both CS1 and CS2 topics this textbook gives students an easy entry into programming small projects as well as a firm foundation for taking on larger-scale projects. Many student and instructor resources are available at www. programmingusingscala. net

GBP 180.00

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Artificial Intelligence for Autonomous Networks

Artificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization highlighting the exciting opportunities to integrate those two worlds. Outlining the new frontiers for autonomous networks this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation cyber security enterprise services 5G and IoT infrastructure monitoring and traffic optimization and finally customer experience and care. With contributions from leading experts this book will provide an invaluable resource for network engineers software engineers artificial intelligence and machine learning researchers.

GBP 46.99

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Quantitative Finance with Python A Practical Guide to Investment Management Trading and Financial Engineering

Quantitative Finance with Python: A Practical Guide to Investment Management Trading and Financial Engineering bridges the gap between the theory of mathematical finance and the practical applications of these concepts for derivative pricing and portfolio management. The book provides students with a very hands-on rigorous introduction to foundational topics in quant finance such as options pricing portfolio optimization and machine learning. Simultaneously the reader benefits from a strong emphasis on the practical applications of these concepts for institutional investors. Features Useful as both a teaching resource and as a practical tool for professional investors. Ideal textbook for first year graduate students in quantitative finance programs such as those in master’s programs in Mathematical Finance Quant Finance or Financial Engineering. Includes a perspective on the future of quant finance techniques and in particular covers some introductory concepts of Machine Learning. Free-to-access repository with Python codes available at www. routledge. com/ 9781032014432 and on https://github. com/lingyixu/Quant-Finance-With-Python-Code. | Quantitative Finance with Python A Practical Guide to Investment Management Trading and Financial Engineering

GBP 99.99

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Real-World Evidence in Drug Development and Evaluation

Real-world evidence (RWE) has been at the forefront of pharmaceutical innovations. It plays an important role in transforming drug development from a process aimed at meeting regulatory expectations to an operating model that leverages data from disparate sources to aid business regulatory and healthcare decision making. Despite its many benefits there is no single book systematically covering the latest development in the field. Written specifically for pharmaceutical practitioners Real-World Evidence in Drug Development and Evaluation presents a wide range of RWE applications throughout the lifecycle of drug product development. With contributions from experienced researchers in the pharmaceutical industry the book discusses at length RWE opportunities challenges and solutions. Features Provides the first book and a single source of information on RWE in drug development Covers a broad array of topics on outcomes- and value-based RWE assessments Demonstrates proper Bayesian application and causal inference for real-world data (RWD) Presents real-world use cases to illustrate the use of advanced analytics and statistical methods to generate insights Offers a balanced discussion of practical RWE issues at hand and technical solutions suitable for practitioners with limited data science expertise

GBP 44.99

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IoT and Big Data Analytics for Smart Cities A Global Perspective

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective emphasizes the challenges architectural models and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates graduates and researchers in the area of computer science and information technology will also find this book useful. | IoT and Big Data Analytics for Smart Cities A Global Perspective

GBP 110.00

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Technological Prospects and Social Applications of Society 5.0

This book provides readers to the vision of Society 5. 0 which was originally proposed in the fifth Basic Science and Technology Plan by Japan’s government for a technology-based human-centered society emerging from the fourth industrial revolution (Industry 4. 0). The implementation of AI and other modern techniques in a smart society requires automated data scheduling and analysis using smart applications a smart infrastructure smart systems and a smart network. Features Provides an overview of basic concepts of Society 5. 0 as well as the main pillars that support the implementation of Society 5. 0. Contains the most recent research analysis in the domain of computer vision signal processing and computing sciences for facilitating smart homes buildings transport facilities environmental conditions and cities and the benefits these offer to a nation. Presents the readers with practical approaches of using AI and other algorithms for smart ecosystem to deals with human dynamics the social objects and their relations. Deals with the utilization of AI tools and other modern techniques for smart society as well as the current challenging issues and its solutions for transformation to Society 5. 0. This book is aimed at graduate and post graduate students researchers academicians working in the field of computer science artificial intelligence and machine learning. | Technological Prospects and Social Applications of Society 5. 0

GBP 89.99

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Risk Monetization Converting Threats and Opportunities into Impact on Project Value

Risk Monetization: Converting Threats and Opportunities into Impact on Project Value addresses the organizational political cultural and technical issues related to implementing a successful risk assessment management and monetization process. Suitable for readers in any organization or area of expertise the book assumes no prior background in risk assessment management or monetization. With more than three decades of experience in risk-process implementation the author first explains the benefits of the risk-monetization process and how risk matters are generally not handled properly in contemporary organizations. He then introduces the terms and definitions essential to making risk monetization successful in a project. The text goes on to give examples of risk-monetization techniques applied in a variety of settings before discussing the typical risk situation for most projects and the shortcomings of conventional processes. It also describes how risk identification assessment management and monetization processes are set up in an ideal environment as well as in imperfect situations. The final chapter focuses on how investment decisions are made based on the monetization and ranking of risks. Enhancing your project’s value this book offers step-by-step practical guidance on identifying assessing managing and monetizing both threats and opportunities so that risk impedes the bottom line as little as possible. It shows you how to convert probable risks into positive impacts on the chance of success and/or profitability of any project. | Risk Monetization Converting Threats and Opportunities into Impact on Project Value

GBP 69.99

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Time Series Modelling with Unobserved Components

Despite the unobserved components model (UCM) having many advantages over more popular forecasting techniques based on regression analysis exponential smoothing and ARIMA the UCM is not well known among practitioners outside the academic community. Time Series Modelling with Unobserved Components rectifies this deficiency by giving a practical overview of the UCM approach covering some theoretical details several applications and the software for implementing UCMs. The book’s first part discusses introductory time series and prediction theory. Unlike most other books on time series this text includes a chapter on prediction at the beginning because the problem of predicting is not limited to the field of time series analysis. The second part introduces the UCM the state space form and related algorithms. It also provides practical modeling strategies to build and select the UCM that best fits the needs of time series analysts. The third part presents real-world applications with a chapter focusing on business cycle analysis and the construction of band-pass filters using UCMs. The book also reviews software packages that offer ready-to-use procedures for UCMs as well as systems popular among statisticians and econometricians that allow general estimation of models in state space form. This book demonstrates the numerous benefits of using UCMs to model time series data. UCMs are simple to specify their results are easy to visualize and communicate to non-specialists and their forecasting performance is competitive. Moreover various types of outliers can easily be identified missing values are effortlessly managed and working contemporaneously with time series observed at different frequencies poses no problem.

GBP 44.99

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Cloud Security Attacks Techniques Tools and Challenges

Cloud computing has gained paramount attention and most of the companies are adopting this new paradigm and gaining significant benefits. As number of applications and business operations are being facilitated by the cloud computing paradigm it has become the potential target to attackers. The importance of well-organized architecture and security roles have become greater with the growing popularity. Cloud Security: Attacks Techniques Tools and Challenges provides an in-depth technical description about various key essential aspects of cloud security. We have endeavored to provide a technical foundation that will be practically useful not just for students and independent researchers but also for professional cloud security analysts for conducting security procedures and all those who are curious in the field of cloud security The book offers comprehensive coverage of the most essential topics including: Basic fundamentals of Cloud Computing Cloud security concepts vulnerabilities security standards and reference models Cloud security goals key issues and privacy requirements Threat model detailed taxonomy of cloud attacks Attack feature analysis – case study A detailed taxonomy of IDS techniques and Cloud Intrusion Detection Systems (IDS) Attack and security tools LibVMI – case study Advanced approaches: Virtual Machine Introspection (VMI) and Hypervisor Introspection (HVI) Container security: threat model attacks and defense systems This book is intended for both academic and professional audience. It could also be used as a textbook for a semester course at undergraduate and post graduate level in Computer Science Information Technology Information Security and Information Science & Management. The book serves as basic reference volume for researchers in cloud security. It will be useful to practitioners cloud security team and the cloud security auditor as well. To get the most out of this book the reader should have a working knowledge of various operating system environments hypervisors cloud computing fundamentals programming languages like Python and a working knowledge of security tools. | Cloud Security Attacks Techniques Tools and Challenges

GBP 130.00

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Case Studies in Innovative Clinical Trials

Drug development is a strictly regulated area. As such marketing approval of a new drug depends heavily if not exclusively on evidence generated from clinical trials. Drug development has seen tremendous innovation in science and technology that has revolutionized the treatment of some diseases. And yet the statistical design and practical conduct of the clinical trials used to test new therapeutics for safety and efficacy have changed very little over the decades. Our approach to clinical trials is steeped in convention and tradition. The large fixed randomized controlled trial methods that have been the gold standard are well understood and expected by many trial stakeholders. However this approach is not well suited to all aspects of modern drug development and the current competitive landscape. We now see new therapies that target a small fraction of the patient population rare diseases with high unmet medical needs and pediatric populations that must wait for years for new drug approvals from the time that therapies are approved in adults. Large randomized clinical trials are at best inefficient and at worst completely infeasible in many modern clinical settings. Advances in technology and data infrastructure call for innovations in clinical trial design. Despite advances in statistical methods the availability of information and computing power the actual experience with innovative design in clinical trials across industry and academia is limited. This book will be an important showcase of the potential for these innovative designs in modern drug development and will be an important resource to guide those who wish to undertake them for themselves. This book is ideal for professionals in the pharmaceutical industry and regulatory agencies but it will also be useful to academic researchers faculty members and graduate students in statistics biostatistics public health and epidemiology due to its focus on innovation. Key Features: Is written by pharmaceutical industry experts academic researchers and regulatory reviewers; this is the first book providing a comprehensive set of case studies related to statistical methodology implementation regulatory considerations and communication of complex innovative trial design Has a broad appeal to a multitude of readers across academia industry and regulatory agencies Each contribution is a practical case study that can speak to the benefits of an innovative approach but also balance that with the real-life challenges encountered A complete understanding of what is actually being done in modern clinical trials will broaden the reader’s capabilities and provide examples to first mimic and then customize and expand upon when exploring these ideas on their own | Case Studies in Innovative Clinical Trials