Introduction to Responsible AI: Implement Ethical AI Using Python
暫譯: 負責任的人工智慧入門：使用 Python 實現倫理 AI
Manure, Avinash, Bengani, Shaleen, S, Saravanan
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商品描述
The 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.
The 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.
You will:
- Understand the principles of responsible AI and their importance in today's digital world
- Master techniques to detect and mitigate bias in AI
- Explore methods and tools for achieving transparency and explainability
- Discover best practices for privacy preservation and security in AI
- Gain insights into designing robust and reliable AI models
商品描述(中文翻譯)
學習並實作負責任的 AI 模型，使用 Python。本書將教您如何在人工智慧中平衡倫理挑戰與機會。
本書首先介紹 AI 的基本原理，特別強調負責任 AI 的關鍵原則。作者接著引導您了解檢測和減輕偏見的關鍵問題，使 AI 決策可理解、保護隱私、確保安全以及設計穩健的模型。在此過程中，您將獲得工具、技術和程式碼範例的概述，以便在現實情境中實作您所學的關鍵原則。
本書最後一章專注於促進對負責任 AI 對未來深遠影響的更深入理解。每一章都提供實作方法，並附有實用見解和程式碼片段，使您能將倫理考量轉化為可行的解決方案。
您將：
- 理解負責任 AI 的原則及其在當今數位世界中的重要性
- 精通檢測和減輕 AI 偏見的技術
- 探索實現透明性和可解釋性的方法和工具
- 發現 AI 中隱私保護和安全性的最佳實踐
- 獲得設計穩健且可靠的 AI 模型的見解
作者簡介
Avinash Manure 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.
He is the author of Learn Tensorflow 2.0 and Introduction to Prescriptive AI, both with Apress.
Avinash 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.
Shaleen 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.
Shaleen Bengani has authored the book Operationalizing Machine Learning Pipelines as well as three research papers in the deep learning space.
He 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.
Saravanan S 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.
Saravanan earned a masters degree in statistics from Loyola College from Chennai. In his spare time he likes traveling, reading books and playing games.作者簡介(中文翻譯)
Avinash Manure 是一位經驗豐富的機器學習專業人士，擁有超過十年的經驗，專注於構建、部署和維護各行各業的尖端機器學習解決方案。他在領導和指導高效能團隊開發滿足不同商業需求的機器學習系統方面擁有超過六年的經驗。他精通部署複雜的機器學習和統計建模算法及技術，以識別模式並為關鍵利益相關者和組織領導層提取有價值的見解。
他是 Learn Tensorflow 2.0 和 Introduction to Prescriptive AI 的作者，這兩本書均由 Apress 出版。
Avinash 擁有孟買大學的電子工程學士學位，並在浦那大學獲得了工商管理碩士學位（行銷）。他與妻子和孩子居住在班加羅爾，喜歡旅行和閱讀勵志書籍。
Shaleen 是一位擁有超過四年經驗的機器學習工程師，專注於構建、部署和管理各行各業的尖端機器學習解決方案。他開發了幾個框架和平台，顯著簡化了流程並提高了機器學習團隊的效率。
Shaleen Bengani 著有書籍 Operationalizing Machine Learning Pipelines，並在深度學習領域發表了三篇研究論文。
他擁有 BITS Pilani（迪拜校區）的計算機科學與工程學士學位，因全方位表現優異而獲得校長獎。在閒暇時間，他喜歡打乒乓球和閱讀。
Saravanan S 是一位擁有超過六年數據科學和數據工程經驗的 AI 工程師。他開發了穩健的數據管道，用於開發和部署先進的機器學習模型，生成有見地的報告，並確保為多樣化行業提供尖端解決方案。
Saravanan 獲得了來自金奈的 Loyola College 的統計學碩士學位。在空閒時間，他喜歡旅行、閱讀書籍和玩遊戲。
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