{"product_id":"risk-modeling-9781119824930","title":"Risk Modeling","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eA wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003ci\u003eRisk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning\u003c\/i\u003e introduces readers to the use of innovative AI technologies for forecasting and evaluating financial risks. Providing up-to-date coverage of the practical application of current modelling techniques in risk management, this real-world guide also explores new opportunities and challenges associated with implementing machine learning and artificial intelligence (AI) into the risk management process.\u003c\/p\u003e \u003cp\u003eAuthors Terisa Roberts and Stephen Tonna provide readers with a clear understanding about the strengths and weaknesses of machine learning and AI while explaining how they can be applied to both everyday risk management problems and to evaluate the financial impact of extreme events such as global pandemics and chan\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAcknowledgments xi\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1 Introduction 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRisk Modeling: Definition and Brief History 4\u003c\/p\u003e \u003cp\u003eUse of AI and Machine Learning in Risk Modeling 7\u003c\/p\u003e \u003cp\u003eThe New Risk Management Function 7\u003c\/p\u003e \u003cp\u003eOvercoming Barriers to Technology and AI Adoption with a Little Help from Nature 10\u003c\/p\u003e \u003cp\u003eThis Book: What It Is and Is Not 11\u003c\/p\u003e \u003cp\u003eEndnotes 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2 Data Management and Preparation 15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eImportance of Data Governance to the Risk Function 18\u003c\/p\u003e \u003cp\u003eFundamentals of Data Management 20\u003c\/p\u003e \u003cp\u003eOther Data Considerations for AI, Machine Learning, and Deep Learning 22\u003c\/p\u003e \u003cp\u003eConcluding Remarks 29\u003c\/p\u003e \u003cp\u003eEndnotes 30\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3 Artificial Intelligence, Machine Learning, and Deep Learning Models for Risk Management 31\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eRisk Modeling Using Machine Learning 35\u003c\/p\u003e \u003cp\u003eDefinitions of AI, Machine, and Deep Learning 40\u003c\/p\u003e \u003cp\u003eConcluding Remarks 52\u003c\/p\u003e \u003cp\u003eEndnotes 52\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4 Explaining Artificial Intelligence, Machine Learning, and Deep Learning Models 55\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDifference Between Explaining and Interpreting Models 57\u003c\/p\u003e \u003cp\u003eWhy Explain AI Models 59\u003c\/p\u003e \u003cp\u003eCommon Approaches to Address Explainability of Data Used for Model Development 61\u003c\/p\u003e \u003cp\u003eCommon Approaches to Address Explainability of Models and Model Output 62\u003c\/p\u003e \u003cp\u003eLimitations in Popular Methods 68\u003c\/p\u003e \u003cp\u003eConcluding Remarks 69\u003c\/p\u003e \u003cp\u003eEndnotes 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5 Bias, Fairness, and Vulnerability in Decision-Making 71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAssessing Bias in AI Systems 73\u003c\/p\u003e \u003cp\u003eWhat Is Bias? 76\u003c\/p\u003e \u003cp\u003eWhat Is Fairness? 77\u003c\/p\u003e \u003cp\u003eTypes of Bias in Decision-Making 78\u003c\/p\u003e \u003cp\u003eConcluding Remarks 89\u003c\/p\u003e \u003cp\u003eEndnotes 89\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6 Machine Learning Model Deployment, Implementation, and Making Decisions 91\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTypical Model Deployment Challenges 93\u003c\/p\u003e \u003cp\u003eDeployment Scenarios 98\u003c\/p\u003e \u003cp\u003eCase Study: Enterprise Decisioning at a Global Bank 101\u003c\/p\u003e \u003cp\u003ePractical Considerations 102\u003c\/p\u003e \u003cp\u003eModel Orchestration 103\u003c\/p\u003e \u003cp\u003eConcluding Remarks 104\u003c\/p\u003e \u003cp\u003eEndnote 104\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7 Extending the Governance Framework for Machine Learning Validation and Ongoing Monitoring 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eEstablishing the Right Internal Governance Framework 108\u003c\/p\u003e \u003cp\u003eDeveloping Machine Learning Models with Governance in Mind 109\u003c\/p\u003e \u003cp\u003eMonitoring AI and Machine Learning 112\u003c\/p\u003e \u003cp\u003eCompliance Considerations 122\u003c\/p\u003e \u003cp\u003eFurther Takeaway 125\u003c\/p\u003e \u003cp\u003eConcluding Remarks 126\u003c\/p\u003e \u003cp\u003eEndnotes 127\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8 Optimizing Parameters for Machine Learning Models and Decisions in Production 129\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOptimization for Machine Learning 131\u003c\/p\u003e \u003cp\u003eMachine Learning Function Optimization Using Solvers 133\u003c\/p\u003e \u003cp\u003eTuning of Parameters 136\u003c\/p\u003e \u003cp\u003eOther Optimization Algorithms for Risk Models 141\u003c\/p\u003e \u003cp\u003eMachine Learning Models as Optimization Tools 143\u003c\/p\u003e \u003cp\u003eConcluding Remarks 147\u003c\/p\u003e \u003cp\u003eEndnotes 148\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9 The Interconnection between Climate and Financial Instability 149\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eMagnitude of Climate Instability: Understanding the \"Why\" of Climate Change Risk Management 152\u003c\/p\u003e \u003cp\u003eInterconnected: Climate and Financial Stability 157\u003c\/p\u003e \u003cp\u003eAssessing the impacts of climate change using AI and machine learning 158\u003c\/p\u003e \u003cp\u003eUsing scenario analysis to understand potential economic impact 160\u003c\/p\u003e \u003cp\u003ePractical Examples 170\u003c\/p\u003e \u003cp\u003eConcluding Remarks 172\u003c\/p\u003e \u003cp\u003eEndnotes 172\u003c\/p\u003e \u003cp\u003eAbout the Authors 175\u003c\/p\u003e \u003cp\u003eIndex 177\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407163957591,"sku":"9781119824930","price":30.39,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119824930.jpg?v=1730498396","url":"https:\/\/bookcurl.com\/products\/risk-modeling-9781119824930","provider":"Book Curl","version":"1.0","type":"link"}