{"product_id":"responsible-ai-in-the-enterprise-practical-ai-risk-management-for-explainable-auditable-and-safe-models-with-hyperscalers-and-azure-openai-9781803230528","title":"Responsible AI in the Enterprise: Practical AI risk management for explainable, auditable, and safe models with hyperscalers and Azure OpenAI","description":"\u003cp\u003e\u003cstrong\u003eBuild and deploy your AI models successfully by exploring model governance, fairness, bias, and potential pitfalls\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePurchase of the print or Kindle book includes a free PDF eBook\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eLearn ethical AI principles, frameworks, and governance\u003c\/li\u003e\n\u003cli\u003eUnderstand the concepts of fairness assessment and bias mitigation\u003c\/li\u003e\n\u003cli\u003eIntroduce explainable AI and transparency in your machine learning models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eResponsible 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.\u003c\/p\u003e\u003cp\u003eThroughout 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.\u003c\/p\u003e\u003cp\u003eBy the end of this book, you'll be well-equipped with tools and techniques to create transparent and accountable machine learning models.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand explainable AI fundamentals, underlying methods, and techniques\u003c\/li\u003e\n\u003cli\u003eExplore model governance, including building explainable, auditable, and interpretable machine learning models\u003c\/li\u003e\n\u003cli\u003eUse partial dependence plot, global feature summary, individual condition expectation, and feature interaction\u003c\/li\u003e\n\u003cli\u003eBuild explainable models with global and local feature summary, and influence functions in practice\u003c\/li\u003e\n\u003cli\u003eDesign and build explainable machine learning pipelines with transparency\u003c\/li\u003e\n\u003cli\u003eDiscover Microsoft FairLearn and marketplace for different open-source explainable AI tools and cloud platforms\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAuthor:\u003c\/b\u003e Adnan Masood, Heather Dawe\u003cbr\u003e\u003cb\u003ePublisher:\u003c\/b\u003e Packt Publishing\u003cbr\u003e\u003cb\u003ePublished:\u003c\/b\u003e 07\/31\/2023\u003cbr\u003e\u003cb\u003ePages:\u003c\/b\u003e 318\u003cbr\u003e\u003cb\u003eBinding Type:\u003c\/b\u003e Paperback\u003cbr\u003e\u003cb\u003eWeight:\u003c\/b\u003e 1.21lbs\u003cbr\u003e\u003cb\u003eSize:\u003c\/b\u003e 9.25h x 7.50w x 0.67d\u003cbr\u003e\u003cb\u003eISBN:\u003c\/b\u003e 9781803230528\u003c\/p\u003e\u003cp\u003e\u003ci\u003eThis title is not returnable\u003c\/i\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Packt Publishing","offers":[{"title":"Paperback","offer_id":41338154451059,"sku":"9.7818E+12","price":67.91,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0555\/9255\/0515\/products\/img_833b5b01-2dd4-493e-a489-b40add8a12ab.jpg?v=1707589827","url":"https:\/\/bookstorenmore.com\/products\/responsible-ai-in-the-enterprise-practical-ai-risk-management-for-explainable-auditable-and-safe-models-with-hyperscalers-and-azure-openai-9781803230528","provider":"Bookstore N More","version":"1.0","type":"link"}