Machine Learning for Financial Risk Management with Python

Global and national confidential inquiry reports show that 60 to 80% of maternal and neonatal morbidity and mortality are due to avoidable errors. This comprehensive and illustrated second edition offers a practical guide to the management of obstetric, medical, surgical, anaesthetic and newborn emergencies in addition to organisational and training issues. The book is divided conveniently into nine sections and updated throughout in line with modern research and practice. Several new chapters cover setting up skills and drills training in maternity services to reduce avoidable harm, managing obstetric emergencies during 'home births' and in low-risk midwifery units, and minimizing maternal and fetal morbidity in failed operative vaginal delivery. Each chapter includes a practical algorithm for quick reference, the scientific basis for proposed actions, a case-based practical exercise and useful learning tools such as 'Key Pearls' and 'Key Pitfalls'. An invaluable resource for obstetri

Bears have fascinated people since ancient times. The relationship between bears and humans dates back thousands of years, during which time we have also competed with bears for shelter and food. In modern times, bears have come under pressure through encroachment on their habitats, climate change, and illegal trade in their body parts, including the Asian bear bile market. The IUCN lists six bears as vulnerable or endangered, and even the least concern species, such as the brown bear, are at risk of extirpation in certain countries. The poaching and international trade of these most threatened populations are prohibited, but still ongoing. Covering all bears species worldwide, this beautifully illustrated volume brings together the contributions of 200 international bear experts on the ecology, conservation status, and management of the Ursidae family. It reveals the fascinating long history of interactions between humans and bears and the threats affecting these charismatic species.

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

Calling for the transformation of undergraduate education, Thomas and Harney argue that the liberal arts should be integrated into the traditional management curriculum to blend technical and analytic acumen with creativity, critical thinking, and ethical intelligence. In describing their vision for a new liberal management education, the authors demonstrate how a holistic pedagogy that does not sacrifice one wealth of learning for another instead encourages participation and integration to the benefit of students and society. Global in sweep, the book provides case studies of successfully implemented experimental courses in Asia and Britain, as well as a speculative chapter on how an African liberal management education could take shape, based on African-centred principles and histories. Finally, the book argues that the stakes of this agenda go beyond mere curricular reform and pedagogical innovation and speak directly to the environmental, business, political, and social challenges

This beloved and market-leading Operations Management book has been completely updated in the 14th edition and provides a clear presentation of the field of Operations Management with current real-world examples and thoughtful student pedagogy. The comprehensive breadth of content is presented in more modular flexible chapters, so it may be used for different course levels ranging from undergrad to executive education. That flexibility allows for the choice of more or less quantitative material and flexibility in order of presentation since chapters do not depend on sequence.The topics covered include both strategic issues and practical applications. Among the topics are forecasting, product and service design, capacity planning, management of quality and quality control, inventory management, scheduling, supply chain management, and project management. The use of an adaptive online learning enhances the student experience and success.

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.

A Great Deal of Ruin provides an accessible introduction to the enduring problem of financial crises. Illustrated with historical analysis, case studies, and clear economic concepts, this book explains in three parts what financial crises are, how they are caused and what we can learn from them. It begins with a taxonomy of crises and a list of factors that increase the risk for countries experiencing a financial crisis. It then examines five of the most important crises in modern economic history, beginning with the Great Depression and ending with the subprime crisis in the United States and its evolution into a debt crisis in the Eurozone. The book concludes with a set of lessons that can be learnt from the crises of the past. It will appeal to university students as well as general readers who are curious to learn more about the recent subprime crisis and other financial crises.

A Great Deal of Ruin provides an accessible introduction to the enduring problem of financial crises. Illustrated with historical analysis, case studies, and clear economic concepts, this book explains in three parts what financial crises are, how they are caused and what we can learn from them. It begins with a taxonomy of crises and a list of factors that increase the risk for countries experiencing a financial crisis. It then examines five of the most important crises in modern economic history, beginning with the Great Depression and ending with the subprime crisis in the United States and its evolution into a debt crisis in the Eurozone. The book concludes with a set of lessons that can be learnt from the crises of the past. It will appeal to university students as well as general readers who are curious to learn more about the recent subprime crisis and other financial crises.

Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this theory can be applied in practice. The authors begin by developing a basic framework with a focus on conjugacy, which enables the reader to derive tractable algorithms. Next, it summarizes non-asymptotic theory, which, although limited in application to bilinear models, precisely describes the behavior of the variational Bayesian solution and reveals its sparsity inducing mechanism. Finally, the text summarizes asymptotic theory, which reveals phase transition phenomena depending on the prior setting, thus providing suggestions on how to set hyperparameters for particular purposes. Detailed derivations allow readers to follow along without prior knowledge of the mathematical techniques specific to

Effective leadership is critical to ensuring safety, efficiency and maximum productivity in the operating room (OR). This practical, evidence-based book unpicks the dynamics of a successful OR environment to underline the key techniques for management of policies, systems, staff members and teams. Fully updated to include recent clinical guidelines, the book provides the 'A-Z' of OR management, including sections on metrics, scheduling, human resource management, leadership principles, economics, quality assurance, recovery and ambulatory practice. New chapters include future healthcare models, emergency preparedness and budgets amongst other topics. Written by authors with unrivalled experience in the field, chapters are laid out in an easy and clinically helpful format to assist learning, and real-life case studies cover seventy-three different clinically relevant pain topics. This book is an essential guide for anyone working in the OR including anaesthesiologists, surgeons, nurses,

This book provides detailed information on the different forms of injury that are associated with training for and participation in Alpine skiing, covering risk factors and epidemiology, incidence, in

Deep Learning is now ubiquitous with applied machine learning. All of the technology giants (e.g. Google, Microsoft, Apple, etc.) are focusing on deep learning based techniques for data analytics and

An indispensable guide enabling business and management students to develop their professional competences in real organizational settings, this new and fully updated edition of Problem Solving in Organizations equips the reader with the necessary toolkit to apply the theory to practical business problems. By encouraging the reader to use the theory and showing them how to do so in a fuzzy, ambiguous and politically charged, real-life organizational context, this book offers a concise introduction to design-oriented and theory-informed problem solving in organizations. In addition, it gives support for designing the overall approach to a problem-solving project as well as support for each of the steps of the problem-solving cycle: problem definition, problem analysis, solution design, interventions, and evaluation. Problem Solving in Organizations is suitable for readers with a wide range of learning objectives, including undergraduates and graduates studying business and management, M

An indispensable guide enabling business and management students to develop their professional competences in real organizational settings, this new and fully updated edition of Problem Solving in Organizations equips the reader with the necessary toolkit to apply the theory to practical business problems. By encouraging the reader to use the theory and showing them how to do so in a fuzzy, ambiguous and politically charged, real-life organizational context, this book offers a concise introduction to design-oriented and theory-informed problem solving in organizations. In addition, it gives support for designing the overall approach to a problem-solving project as well as support for each of the steps of the problem-solving cycle: problem definition, problem analysis, solution design, interventions, and evaluation. Problem Solving in Organizations is suitable for readers with a wide range of learning objectives, including undergraduates and graduates studying business and management, M

An in-depth look at how banks and financial institutions manage assets and liabilitiesCreated for banking and finance professionals with a desire to expand their management skillset, this book focuses

A comprehensive guide to day trading, with prescriptive information and actionable advice to help you achieve financial success.It may seem that day trading is only for savvy investors who know the in

Welcome Future Coder! Are You Ready To Learn And Start Programming With Any Language In 2 Hours? Learning to write computer programs can be fun if you take up the right approach and this shall be the

Wildfire risks include human activity and natural developments around forest areas that cause fire hazards. Wildfire risks and management deals with the constant threat of wildfires and its risk for w

The newest offering in the highly successful Positive Discipline series with more than 200,000 copies sold, this is a teacher's compendium of the most important tools to foster hands-on learning and c

Suitable for a one- or two-semester course for undergraduate and graduate students, this interdisciplinary textbook explains the diverse aspects of innovation and social networks, which occupy a central place in business and policy agendas. Its unified approach presents networks as nested systems that can span organisations, industries, regions, and markets, giving students a holistic perspective and reducing the amount of effort required to learn the theoretical framework for each layer. With engaging real-world examples, the text also provides a practical guide on how to manage networks to increase innovation and improve performance. Topics covered include forming teams to foster creativity, selecting partners and leveraging partnerships for learning, managing organisational change, and sponsoring technologies in communities. Students will learn the metrics used in social network analysis and how they are interpreted and applied. Suggested reading lists and online resources offer opp

Suitable for a one- or two-semester course for undergraduate and graduate students, this interdisciplinary textbook explains the diverse aspects of innovation and social networks, which occupy a central place in business and policy agendas. Its unified approach presents networks as nested systems that can span organisations, industries, regions, and markets, giving students a holistic perspective and reducing the amount of effort required to learn the theoretical framework for each layer. With engaging real-world examples, the text also provides a practical guide on how to manage networks to increase innovation and improve performance. Topics covered include forming teams to foster creativity, selecting partners and leveraging partnerships for learning, managing organisational change, and sponsoring technologies in communities. Students will learn the metrics used in social network analysis and how they are interpreted and applied. Suggested reading lists and online resources offer opp

In the aftermath of the 2007–8 crisis, senior policymakers and the media have blamed excessive risk-taking undertaken by bank executives, in response to their compensation incentives, for the crisis. The inevitable follow-up to this was to introduce stronger financial regulation, in the hope that better and more ethical behaviour can be induced. Despite the honourable intentions of regulation, such as the Dodd–Frank Act of 2010, it is clear that many big banks are still deemed too big to fail. This book argues that by restructuring executive incentive programmes to include only restricted stock and restricted stock options with very long vesting periods, and financing banks with considerably more equity, the potential of future financial crises can be minimized. It will be of great value to corporate executives, corporate board members, institutional investors and economic policymakers, as well as graduate and undergraduate students studying finance, economics and law.

Looking for one central source where you can learn key findings on machine learning?Deep Learning: The Definitive Guide provides developers and data scientists with the most practical information ava

This book goes beyond traditional financial institutions textbooks, which tend to focus on mathematical models for risk management and the technical aspects of measuring and managing risk. It focuses

This book goes beyond traditional financial institutions textbooks, which tend to focus on mathematical models for risk management and the technical aspects of measuring and managing risk. It foc

Go from messy, unstructured artifacts stored in SQL and NoSQL databases to a neat, well-organized dataset with this quick reference for the busy data scientist. Understand text mining, machine learnin

This book continues the work of the best-selling How to Measure Anything. Douglas Hubbard along with his co-author Richard Seiersen now exam the measurement of cybersecurity. There is a gold mine or quantitative learning, and unlearning, within a study of cybersecurity. This book will critique some of cybersecurity’s premier, seemingly quantitative, risk management approaches. It will be demonstrated that many of these “risk management” methods create more risk than they resolve. Questionable security risk management methods are duplicated across industries, embedded in products and largely accepted as gospel. The authors show some techniques that can be used to dramatically improve the norm. They will also show that some methods are beyond recovery and “worse than doing nothing”.

There are several reasons for this book. The very first reason is that management practice, in the last decade has been rife with numerous examples of corruption and scandal. Many modern organizations

A fearsome aspect of management is the performance appraisal. It has become a byword for unfairness and irritation among employees. Some management writers are even proposing in doing away with it. We