Machine Learning for Financial Risk Management with Python

Financial Management in the Sport Industry provides readers with an understanding of sport finance and the importance of sound financial management in the sport industry. It begins by covering finance

A practical, real-world guide for implementing enterprise risk management (ERM) programs into your organizationEnterprise risk management (ERM) is a complex yet critical issue that all companies must

This book explores the accounting and regulatory framework associated with the acquisition and disposal of financial instruments; how to determine their value; how to manage the risk connected with th

For undergraduate courses in corporate finance and financial management. Develop and begin to apply financial principles People often struggle to see how financial concepts relate to their persona

In Practical Machine Learning with H2O.ai, author Darren Cook introduces readers to H2O, an open-source machine learning package that is gaining popularity in the data science community. This concise

This FAA handbook provides tools to help pilots determine and assess each situation for the safest possible flight with the least amount of risk. Pilots who practice effective risk management have pre

This book provides an introduction to the valuation of financial instruments on equity markets. Written from the perspective of trading, risk management and quantitative research functions and written

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, inc

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”.

Machine learning is an exciting new way to use computers to perform tasks that require the ability to learn from experience. In order to make machine learning a reality, programmers rely on special la

Strategic financial management is a significant field in understanding of finances, revenues and organizational assets with a long term perspective. It aims at managing and allocating financial resour

The book presents the engineering aspects of risk management. The introduction to potential risks is followed by management principles, risk diagnostic, analysis and treatment followed by examples of

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