Machine Learning for Financial Risk Management with Python

This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for

Risk-management practices have increasingly come under the industry spotlight post-financial crisis as financial institutions and regulators strive to improve the transparency and resilience of the gl

Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.

A groundbreaking, flexible approach to computer science and data scienceThe Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud o

For courses in construction accounting. The market’s most in-depth coverage of construction accounting and finance Construction Accounting and Financial Management covers all of the key a

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and clusters. Learn how to test your ML code and dive into even more advanced topics. If you are a beginner-to-intermediate programmer keen to understand machine learning, this book is for you.Discover machine learning algorithms using a handful of self-contained recipes. Build a repertoire of algorithms, discovering terms and approaches that apply generally. Bake intelligence into your algorithms, guiding them to discover good solutions to problems.In this book, you will:Use heuristics and design fitness functions.Build genetic algorithms.Make nature-inspired swarms with ants, bees and particles.Create Monte Carlo simulations.Investigate cellular automata.Find minima and maxima, using hill climbing and simulated annealing.Try selection methods,

Large-scale data analytics using machine learning (ML) underpins many modern data-driven applications. ML systems provide means of specifying and executing these ML workloads in an efficient and scala

Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investmentBig Data and Machine Learning in Quantitative Investment is not just about demonstrat

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-wor

This book provides a unique, in-depth discussion of multiview learning, one of the fastest developing branches in machine learning. Multiview Learning has been proved to have good theoretical underpin

Industrial Applications of Machine Learning shows how machine learning can be applied to address real-world problems in the fourth industrial revolution, and provides the required knowledge and tools

Arguably the strongest addition to numerical finance of the past decade, Algorithmic Adjoint Differentiation (AAD) is the technology implemented in modern financial software to produce thousands of accurate risk sensitivities, within seconds, on light hardware.AAD recently became a centerpiece of modern financial systems, and a key skill for all quantitative analysts, developers, risk professionals or anyone involved with derivatives. It is increasingly taught in Masters programs in finance.Wiley's Computational Finance books, written by some of the very people who wrote Danske Bank's award-winning systems, offer a unique insight into the modern implementation of financial models. The volumes combine financial modelling, mathematics and programming to resolve real life financial problems and produce effective derivatives software.This volume is a complete, self-contained learning reference for AAD, and its application in finance. AAD is explained in deep detail throughout chapters that

3 comprehensive manuscripts in 1 bookMachine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine

This book collects expert opinions, research, and risk assessments from within the Chinese financial policy establishment on prospects for the internationalization of the renminbi as a reserve currenc

This book provides frequently studied and used machines together with soft computing methods such as evolutionary computation. The main topics of the machine learning cover Artificial Neural Networks

Just about anyone with the slightest bit of interest in modern technology is looking to learn more about Machine Learning. This innovative new form of computer programming is the primary tool that mak

Financial management refers to the optimum and careful management of money so that it is utilized in achieving the desired company objectives and goals. The two different types of financial management

Systemic Risk opens new ground in the study of financial crises. It treats the financial system as a complex adaptive system and shows how lessons from network disciplines - such as ecology, epidemiol

Become a machine learning pro! Google TensorFlow has become the darling of financial firms and research organizations, but the technology can be intimidating and the learning curve is steep. Luc

This Book discusses machine learning for model order reduction, which can be used in modern VLSI design to predict the behavior of an electronic circuit, via mathematical models that predict behavior.

Get a quick, expert overview of risk management in transfusion medicine from Dr. James Mills Barbeau. This practical resource presents a summary of today's state-of-the-art techniques for reducing har

This book points out why organisational or governance aspects are essential for implementing a broad and integrated flood risk management approach. It provides key conclusions on resilient, efficient

Cyber risk has become increasingly reported as a major problem for financial sector businesses. It takes many forms including fraud for purely monetary gain, hacking by people hostile to a company cau

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related.

This series is designed to cover all aspects of sound financial management for local governments in developed and developing countries and economies in transition. Concepts of good governance, transpa

Risk Management of Complex Inorganic Materials: A Practical Guide facilitates the risk assessment and management of complex inorganic materials around the world by providing accessible and specific gu

Health and Safety: Risk Management is the clearest and most comprehensive book on risk management available today. This newly revised fourth edition integrates new developments in legislation, standar

Presenting financial management principles and best practices applicable to both public and academic libraries, this comprehensive text elucidates a broad array of issues crucial for those entering a

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

Information technology specialists from Asia, the Middle East, and the US provide 11 essays on information technology risk management and compliance in organizations. They outline risk management

This class-tested textbook will provide in-depth coverage of the fundamentals of machine learning, with an exploration of applications in information security. The book will cover malware detection, c

A real-world guide to understanding and tackling the strategic, risk, regulatory and compliance challenges of the financial sector There are many good books on each of the four topics covered in this

Don’t invest in a mining project until you’ve read Risk Management in Evaluating Mineral Deposits.Mining is not for the fainthearted. Yes, the rewards are enormous. But so are the risks—and consequenc

This authoritative, expanded and updated second edition of Encyclopedia of Machine Learning and Data Mining provides easy access to core information for those seeking entry into any aspect within the

This timely publication considers recent developments in environmental risk management as they relate to commercial organizations, including risk transfer through insurance. It starts by looking at ch

Strategic financial management as a discipline has acquired a critical significance because of continuing globalization and resulting cross-border flow of capital. Financial Management: A Strategic P

Risk management strategy for the pioneering technological sector Enterprise Risk and Opportunity Management provides much-needed guidance tailored specifically to the technological sector. While most

The highly acclaimed Financial and Strategic Management for Nonprofit Organizations provides an encyclopedic account of all the key financial, legal, and managerial issues facing nonprofit executives.

The Fire Safety and Risk Management Revision Guide: for the NEBOSH Fire Certificate is the perfect revision aid for students preparing to take their NEBOSH National Certificate in Fire Safety and Risk