Machine Learning for Financial Risk Management with Python

When machine learning engineers work with data sets, they may find the results aren't as good as they need. Instead of improving the model or collecting more data, they can use the feature engineering process to help improve results by modifying the data's features to better capture the nature of the problem. This practical guide to feature engineering is an essential addition to any data scientist's or machine learning engineer's toolbox, providing new ideas on how to improve the performance of a machine learning solution. Beginning with the basic concepts and techniques, the text builds up to a unique cross-domain approach that spans data on graphs, texts, time series, and images, with fully worked out case studies. Key topics include binning, out-of-fold estimation, feature selection, dimensionality reduction, and encoding variable-length data. The full source code for the case studies is available on a companion website as Python Jupyter notebooks.

Many industry experts consider unsupervised learning the next AI frontier, one that may hold the key to general artificial intelligence. Armed with the conceptual knowledge in this book, data scientis

Essentials of Financial Management is paperback edition of an Open Access e-textbook suitable for students with limited knowledge of finance and financial markets. It answers the main questions of a c

This book bridges theoretical computer science and machine learning by exploring what the two sides can teach each other. It emphasizes the need for flexible, tractable models that better capture not what makes machine learning hard, but what makes it easy. Theoretical computer scientists will be introduced to important models in machine learning and to the main questions within the field. Machine learning researchers will be introduced to cutting-edge research in an accessible format, and gain familiarity with a modern, algorithmic toolkit, including the method of moments, tensor decompositions and convex programming relaxations. The treatment beyond worst-case analysis is to build a rigorous understanding about the approaches used in practice and to facilitate the discovery of exciting, new ways to solve important long-standing problems.

NOTE: Before purchasing, check with your instructor to ensure you select the correct ISBN. Several versions of the MyLab™and Mastering™ platforms exist for each title, and registrations ar

Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps invol

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.

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals, then move on to neural networks, deep learning, and then convolu

Students are confronted with major financial decisions as they enter college, and yet they have little experience with personal finance. Their decisions, if not well made, could adversely affect them

If you're a Python developer or a system administrator with Python experience and you're looking to take your first steps in network programming, then this book is for you. Basic knowledge of Python i

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

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

The frequency and consequences of extreme flood events have increased rapidly worldwide in recent decades and climate change and economic growth are likely to exacerbate this trend. Flood protection m

Managing Extreme Financial Risk addresses the need for better management strategies in light of increased market risk and volatility in financial institutions' revenue models. Top officials from the

This book serves two purposes. First, it teaches the importance of using sophisticated yet accessible statistical methods to evaluate a trading system before it is put to real-world use. In order to a

The recent turmoil on financial markets has made evident the importance of efficient liquidity risk management for the stability of banks. The measurement and management of liquidity risk must take in

Strong financial management skills are essential to promote high programme standards in international development organizations. Many non-finance people find numbers and financial techniques difficult

Designed for students and professionals, this introduction to the management of commercial and business risk features application examples from the public and private sectors. The book starts off with

This book on personal financial planning and wealth management employs the lifecycle model of financial economics. The central idea of 'consumption smoothing' is used to connect chapters and topics such as saving and investment, debt management, risk management and retirement planning. The first part of the book is nontechnical and aimed at a wide audience with no special technical background. The second part of the book provides a rigorous presentation of the lifecycle model from first principles using the calculus of variations. The accompanying website is found at http://www.yorku.ca/milevsky/?page_id=185.

SummaryMachine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the fle

Written by the text authors and fully updated for the 13E, this invaluable tool gives your students the support they need to fully understand course concepts. The Study Guide contains key learning obj

Domestic and foreign financial assets of all central banks and public wealth funds worldwide are estimated to have reached more than 12 trillion US dollars in 2007. How do these institutions manage such unprecedented growth in their financial assets and how have they responded to the 'revolution' of risk management techniques during the last two decades? This book surveys the fundamental issues and techniques associated with risk management and shows how central banks and other public investors can create better risk management systems. Each chapter looks at a specific area of risk management, first presenting general problems and then showing how these materialize in the special case of public institutions. Written by a team of risk management experts from the European Central Bank, this much-needed survey is an ideal resource for those concerned with the increasingly important task of managing risk in central banks and other financial institutions.

Written by the text authors and fully updated for the 7E, this invaluable tool gives your students the support they need to fully understand course concepts. The Study Guide contains key learning obje

At a time when corporate scandals and major financial failures dominate newspaper headlines, the importance of good risk management practices has never been more obvious. The absence or mismanagement of such practices can have devastating effects on exposed organizations and the wider economy (Barings Bank, Enron, Lehmann Brothers, Northern Rock, to name but a few). Today's organizations and corporate leaders must learn the lessons of such failures by developing practices to deal effectively with risk. This book is an important step towards this end. Written from a European perspective, it brings together ideas, concepts and practices developed in various risk markets and academic fields to provide a much-needed overview of different approaches to risk management. It critiques prevailing enterprise risk management frameworks (ERMs) and proposes a suitable alternative. Combining academic rigour and practical experience, this is an important resource for graduate students and professiona

An understanding of risk and how to deal with it is an essential part of modern economics. Whether liability litigation for pharmaceutical firms or an individual's having insufficient wealth to retire