A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for implementation Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning 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. Authors 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 changes in climate. Throughout the text, the authors clarify misconceptions about the use of machine learning and AI techniques using clear explanations while offering step-by-step advice for implementing the technologies into an organization’s risk management model governance framework. This authoritative volume: Highlights the use of machine learning and AI in identifying procedures for avoiding or minimizing financial risk Discusses practical tools for assessing bias and interpretability of resultant models developed with machine learning algorithms and techniques Covers the basic principles and nuances of feature engineering and common machine learning algorithms Illustrates how risk modeling is incorporating machine learning and AI techniques to rapidly consume complex data and address current gaps in the end-to-end modelling lifecycle Explains how proprietary software and open-source languages can be combined to deliver the best of both worlds: for risk models and risk practitioners Risk Modeling: Practical Applications of Artificial Intelligence, Machine Learning, and Deep Learning is an invaluable guide for CEOs, CROs, CFOs, risk managers, business managers, and other professionals working in risk management.
As the principal of his own law firm and known as "Mr. Condo" to his Chicago condominium clients, Donnie Rudd was at the top of his game. Charming, offbeat, and eccentric, he appeared on his own television show and taught at a local college. But behind the public persona of a successful lawyer, Donnie Rudd's life was unraveling as police investigated the death of his second wife, the murder of a local woman, and claims of fraud by several clients. The fascinating memoir by Donnie's step daughters describes the chaos of life with a sociopath as the allegations of infidelity, madness, and murder against Donnie interrupt their lives again and again. The sisters recount the riveting true story of events over a span of 40 years that will leave readers breathless and wondering how Rudd was able to evade accountability for so long. In the midst of the madness also lies a story of redemption and triumph as the family overcomes the dysfunction of their early tumultuous life.
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