The philosophy of religion and theology are related to the culture in which they have developed. These disciplines provide a source of values and vision to the cultures of which they are part, while at the same time they are delimited and defined by their cultures. This book compares the ideas of two contemporary philosophers, John Hick and Seyyed Hossein Nasr, on the issues of religion, religions, the concept of the ultimate reality, and the notion of sacred knowledge. On a broader level, it compares two world-views: the one formed by Western Christian culture, which is religious in intention but secular in essence; the other Islamic, formed through the assimilation of traditional wisdom, which is turned against the norms of secular culture and is thus religious both in intention and essence.
Build and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn ethical AI principles, frameworks, and governance Understand the concepts of fairness assessment and bias mitigation Introduce explainable AI and transparency in your machine learning models Book DescriptionResponsible AI in the Enterprise is a comprehensive guide to implementing ethical, transparent, and compliant AI systems in an organization. With a focus on understanding key concepts of machine learning models, this book equips you with techniques and algorithms to tackle complex issues such as bias, fairness, and model governance. Throughout the book, you’ll gain an understanding of FairLearn and InterpretML, along with Google What-If Tool, ML Fairness Gym, IBM AI 360 Fairness tool, and Aequitas. You’ll uncover various aspects of responsible AI, including model interpretability, monitoring and management of model drift, and compliance recommendations. You’ll gain practical insights into using AI governance tools to ensure fairness, bias mitigation, explainability, privacy compliance, and privacy in an enterprise setting. Additionally, you’ll explore interpretability toolkits and fairness measures offered by major cloud AI providers like IBM, Amazon, Google, and Microsoft, while discovering how to use FairLearn for fairness assessment and bias mitigation. You’ll also learn to build explainable models using global and local feature summary, local surrogate model, Shapley values, anchors, and counterfactual explanations. By the end of this book, you’ll be well-equipped with tools and techniques to create transparent and accountable machine learning models.What you will learn Understand explainable AI fundamentals, underlying methods, and techniques Explore model governance, including building explainable, auditable, and interpretable machine learning models Use partial dependence plot, global feature summary, individual condition expectation, and feature interaction Build explainable models with global and local feature summary, and influence functions in practice Design and build explainable machine learning pipelines with transparency Discover Microsoft FairLearn and marketplace for different open-source explainable AI tools and cloud platforms Who this book is for This book is for data scientists, machine learning engineers, AI practitioners, IT professionals, business stakeholders, and AI ethicists who are responsible for implementing AI models in their organizations.
Diploma Thesis from the year 2008 in the subject Business economics - Banking, Stock Exchanges, Insurance, Accounting, grade: Sehr gut, University of Vienna (Universität Wien), course: Macro Economics and Finance, language: English, abstract: The literature discusses Islamic investment funds and hedge funds as isolated issues. At present not much work is known, comparing these two very prominent alternative investment forms. This thesis attempts to fill this gap by providing a first insight into both and also tries to answer the following question: Can Islamic investment funds catch up with hedge funds? For this, the thesis compares Islamic investment funds and hedge funds on the basis of different factors, trying to answer three sub questions: What are the advantages and disadvantages of each? Are there differences and/or similarities between the two? How can an investment portfolio including both be balanced? As will be seen throughout the thesis, Islamic investment funds provide a handfull of advantages over hedge funds, even enabling the former to outperform the latter. Hedge funds rely mainly on gaining advantage through market inefficiencies, hedging the market risk through short-term opportunities. This construction puts the fund manager into a high risk position with high profit potential. Despite investment restrictions under Islamic law, a fund manager is not prohibited from facilitating hedge funds by these restrictions. The main difference is that Islamic investments offer more risk control by cooperative arrangements. This characteristic enables an investor to cover the risk of hedge funds by investing in Islamic investment funds. Nevertheless, such differences raise the issue of whether it is sensible to invest solely in Islamic investment funds or hedge funds. [...]
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