Machine Learning for Financial Risk Management with Python

In a world where big data is the norm and near-real-time decisions are crucial, machine learning (ML) is a critical component of the data workflow. Machine learning systems can quickly crunch massive

Apply risk management concepts for better understandingRisk Management in Banking – Workbook is the definitive resource that makesRisk Management in Banking more accessible to both students and practi

The International Handbook of Public Financial Management is a virtual encyclopedia of public financial management, written by topmost experts, many with a background in the IMF and World Bank. It pro

By teaching you how to code machine-learning algorithms using a test-driven approach, this practical book helps you gain the confidence you need to use machine learning effectively in a business envir

This textbook is intended for a course in sport finance. Sections cover finance basics, financial management, application of financial management in sport, and financial attributes of public sector sp

This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random for

Gain insight into the unique risk management challenges within the Islamic banking system Risk Management for Islamic Banks: Recent Developments from Asia and the Middle East analyzes risk manageme

Risk Neutral Pricing and Financial Mathematics: A Primer provides a foundation to financial mathematics for those whose undergraduate quantitative preparation does not extend beyond calculus, statisti

Risk management in supply chain logistics has moved from being a nice-to-have to a necessity due to the number of variables that can cripple a business.Managing Supply Chain Risk: Integrating with Ris

XVA Desks: A New Era for Risk Management is a comprehensive guide to the fundamentals and latest developments in this rapidly expanding field. Written by a seasoned practitioner, it begins with an ove

Public concern over high-profile mistakes in IVF clinics and the concomitant increase in governmental regulation, have given rise to widespread recognition of the need for accreditation of IVF clinics. Modern accreditation schemes are largely based on the principles of ISO 9001 and related standards, at the heart of which lies the expectation of a formal quality management system. Risk analysis and risk minimization are also being demanded of IVF clinics, but many only have limited understanding of how to approach these essential management tasks. This book brings together the basics of quality management and risk management, focussing on 'prophylactic management' - prevention rather than cure. Each chapter in this new edition is fully updated and extended to include new material such as, quality and risk management in the ART clinic, and an illustrative example of a 'well-run' clinic. This is the essential guide for clinicians and IVF laboratory staff.

This book details decision analysis techniques with applications in engineering design and management and also analyzes decision making and risk management processes to better understand and improve d

Part one of Machine-to-Machine (M2M) Communications covers machine-to-machine systems, architecture and components. Part two assesses performance management techniques for M2M communications. Part thr

Risk Management: Concepts and Guidance is considered a comprehensive reference of risk management tools, practices, and protocols. This fifth edition emphasizes greater clarity on risk practice from a

Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for

Risk management deals with prevention, decision-making, action taking, crisis management and recovery, taking into account the consequences of unexpected events. The authors of this book are intereste

Practical guide to implementing Enterprise Risk Management processes and procedures in government organizationsEnterprise Risk Management: A Guide for Government Professionals is a practical guide to

This book presents a risk management framework that will help readers position and conceptualize the topic of supply chain risk management. With this framework, practitioners will be able to reduce co

The goal of machine learning is to program computers to use example data or pastexperience to solve a given problem. Many successful applications of machine learning exist already,including systems th

A brand new textbook for the NEBOSH National Certificate in Fire Safety & Risk Management. Each chapter will guide the student through the syllabus in detail with references to legal frameworks an

With reliable guidance on corporate risk and safety management for aviation businesses at all levels, this volume explains how to implement the latest international regulations—a vital aid to smaller

The importance of proper assessment and management of counterparty risk became apparent during the recent financial crisis. This book provides a theoretically sound presentation of advanced mathematic

Agrawal's Information Security and Risk Management, with a technical rather than managerial focus, gives readers the knowledge and skills needed to compete for and succeed in information security role

This volume provides an introduction for flood risk management practitioners, up-to-date methods for analysis of uncertainty and its use in risk-based decision making. It addresses decision making fo

Praise for Energy and Power Risk Management "Energy and Power Risk Management identifies and addresses the key issues in the development of the turbulent energy industry and the challenges it poses

The book adopts a tutorial-based approach to introduce the user to Scikit-learn. If you are a programmer who wants to explore machine learning and data-based methods to build intelligent applications

A 'handbook' for anyone with a professional interest in the regulation of chemicals Provides a practical guide and overview to chemicals risk assessment and risk management Explains the scientific

"Multinational Financial Management, 10th Edition provides corporate managers with a conceptual framework within which the key financial decisions of the multinational firm can be analyzed. It contain

The field of Corporate Finance has developed into a fairly complex one from its origins focussed on a company's business and financial needs (financing, risk management, capitalization and budgeting).

An easy to implement, practical, and proven risk management methodology for project managers and decision makersDrawing from the author's work with several major and mega capital projects for Royal Du

The Handbook on Systemic Risk, written by experts in the field, provides researchers with an introduction to the multifaceted aspects of systemic risks facing the global financial markets. The Handbook explores the multidisciplinary approaches to analyzing this risk, the data requirements for further research, and the recommendations being made to avert financial crisis. The Handbook is designed to encourage new researchers to investigate a topic with immense societal implications as well as to provide, for those already actively involved within their own academic discipline, an introduction to the research being undertaken in other disciplines. Each chapter in the Handbook will provide researchers with a superior introduction to the field and with references to more advanced research articles. It is the hope of the editors that this Handbook will stimulate greater interdisciplinary academic research on the critically important topic of systemic risk in the global financial markets.

A comprehensive guide to risk management for fund managers and investorsIdeally, all investors attempt to maximize expected returns while minimizing risk. But in the real world, many lack the strate

Decision Support Systems for Risk-Based Management of Contaminated Sites addresses decision making in environmental risk management for contaminated sites, focusing on the potential role of decision s

The "Top 25 Risk Management KPIs of 2011-2012" report provides insights into the state of risk management performance measurement today by listing and analyzing the most visited KPIs for this industry

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and disc

Management of the Patient at High Risk for Breast Cancer provides a state-of-the art review of patients who are at high risk for breast cancer, how to identify them, the tools available for risk asses

Commodity Risk Management goes beyond just an introductory treatment of derivative securities, dealing with more advanced topics and approaching the subject matter from a unique perspective. At its co

Commodity Risk Management goes beyond just an introductory treatment of derivative securities, dealing with more advanced topics and approaching the subject matter from a unique perspective. At its co

A comprehensive guide to credit risk management The Handbook of Credit Risk Management presents a comprehensive overview of the practice of credit risk management for a large institution. It is a guid

Create your own natural language training corpus for machine learning. Whether you’re working with English, Chinese, or any other natural language, this hands-on book guides you through a proven annot