{"product_id":"introduction-to-responsible-ai-implement-ethical-ai-using-python-paperback-1","title":"Introduction to Responsible AI: Implement Ethical AI Using Python - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eAvinash Manure\u003c\/b\u003e (Author), \u003cb\u003eShaleen Bengani\u003c\/b\u003e (Author), \u003cb\u003eSaravanan S\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eLearn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.\u003c\/p\u003e \u003cp\u003eThe book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you'll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios.\u003c\/p\u003e \u003cp\u003eThe book concludes with a chapter devoted to fostering a deeper understanding of responsible AI's profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the principles of responsible AI and their importance in today's digital world\u003c\/li\u003e\n\u003cli\u003eMaster techniques to detect and mitigate bias in AI\u003c\/li\u003e\n\u003cli\u003eExplore methods and tools for achieving transparency and explainability\u003c\/li\u003e\n\u003cli\u003eDiscover best practices for privacy preservation and security in AI\u003c\/li\u003e\n\u003cli\u003eGain insights into designing robust and reliable AI models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003c\/p\u003e AI practitioners, data scientists, machine learning engineers, researchers, policymakers, and students interested in the ethical aspects of AI\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eLearn and implement responsible AI models using Python. This book will teach you how to balance ethical challenges with opportunities in artificial intelligence.\u003c\/p\u003e\u003cp\u003eThe book starts with an introduction to the fundamentals of AI, with special emphasis given to the key principles of responsible AI. The authors then walk you through the critical issues of detecting and mitigating bias, making AI decisions understandable, preserving privacy, ensuring security, and designing robust models. Along the way, you'll gain an overview of tools, techniques, and code examples to implement the key principles you learn in real-world scenarios.\u003c\/p\u003e\u003cp\u003eThe book concludes with a chapter devoted to fostering a deeper understanding of responsible AI's profound implications for the future. Each chapter offers a hands-on approach, enriched with practical insights and code snippets, enabling you to translate ethical considerations into actionable solutions.\u003c\/p\u003e\u003cp\u003eYou will: \u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand the principles of responsible AI and their importance in today's digital world\u003c\/li\u003e\n\u003cli\u003eMaster techniques to detect and mitigate bias in AI\u003c\/li\u003e\n\u003cli\u003eExplore methods and tools for achieving transparency and explainability\u003c\/li\u003e\n\u003cli\u003eDiscover best practices for privacy preservation and security in AI\u003c\/li\u003e\n\u003cli\u003eGain insights into designing robust and reliable AI models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAvinash\u003c\/b\u003e \u003cb\u003eManure\u003c\/b\u003e is a seasoned machine learning professional with more than ten years of experience in building, deploying, and maintaining state-of-the-art machine learning solutions across different industries. He has more than six years of experience in leading and mentoring high performance teams in developing ML systems catering to different business requirements. He is proficient in deploying complex machine learning and statistical modeling algorithms\/ and techniques for identifying patterns and extracting valuable insights for key stakeholders and organizational leadership.\u003c\/p\u003e \u003cp\u003eHe is the author of \u003ci\u003eLearn Tensorflow 2.0\u003c\/i\u003e and \u003ci\u003eIntroduction to Prescriptive AI, \u003c\/i\u003eboth with Apress.\u003c\/p\u003e \u003cp\u003eAvinash holds a bachelor's degree in Electronics Engineering from Mumbai University and earned his Masters in Business Administration (Marketing) from the University of Pune. He resides in Bangalore with his wife and child. He enjoys travelling to new places and reading motivational books.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eShaleen\u003c\/b\u003e is a machine learning engineer with 4+ years of experience in building, deploying, and managing cutting-edge machine learning solutions across varied industries. He has developed several frameworks and platforms that have significantly streamlined processes and improved efficiency of machine learning teams. \u003c\/p\u003e \u003cp\u003e\u003cb\u003eShaleen Bengani\u003c\/b\u003e has authored the book \u003ci\u003eOperationalizing Machine Learning Pipelines\u003c\/i\u003e as well as three research papers in the deep learning space.\u003c\/p\u003e \u003cp\u003eHe holds a bachelors degree in Computer Science and Engineering from BITS Pilani, Dubai Campus, where he was awarded the Director's Medal for outstanding all-around performance. In his leisure time, he likes playing table tennis and reading.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSaravanan S\u003c\/b\u003e is an AI engineer with more than six years of experience in data science and data engineering. He has developed robust data pipelines for developing and deploying advanced machine learning models, genratinginsightful reports, and ensuring cutting edge solutions for diverse industries.\u003c\/p\u003e Saravanan earned a masters degree in statistics from Loyola College from Chennai. In his spare time he likes traveling, reading books and playing games.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 184\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.42 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 23, 2023\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213219545337,"sku":"9781484299814","price":72.88,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/0uLa2rtqLn9781484299814_00ef3ec8-8b0b-479f-b909-02b75e9f522d.webp?v=1768104338","url":"https:\/\/bookscloud.io\/products\/introduction-to-responsible-ai-implement-ethical-ai-using-python-paperback-1","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}