Introduction to Responsible AI: Implement Ethical AI Using Python
Manure, Avinash, Bengani, Shaleen, S, Saravanan
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)
使用Python學習並實施負責任的人工智慧模型。本書將教導您如何在人工智慧領域中平衡倫理挑戰與機遇。
本書首先介紹人工智慧的基礎知識，特別強調負責任人工智慧的關鍵原則。接著，作者們將引導您了解檢測和減輕偏見、使人工智慧決策可理解、保護隱私、確保安全以及設計強健模型等重要問題。在此過程中，您將獲得在實際場景中實施所學原則的工具、技術和程式碼示例的概述。
本書以一章專門探討負責任人工智慧對未來的深遠影響作為結尾。每一章都提供實踐方法，並附有實用見解和程式碼片段，使您能夠將倫理考量轉化為可行的解決方案。
您將能夠：
- 瞭解負責任人工智慧的原則及其在當今數字世界中的重要性
- 掌握檢測和減輕人工智慧中的偏見的技巧
- 探索實現透明度和可解釋性的方法和工具
- 發現在人工智慧中保護隱私和確保安全的最佳實踐方法
- 獲得設計強健可靠的人工智慧模型的見解
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，擁有超過十年的建立、部署和維護最先進機器學習解決方案的經驗，涵蓋不同行業。他在領導和指導高效團隊開發滿足不同業務需求的機器學習系統方面擁有超過六年的經驗。他擅長部署複雜的機器學習和統計建模算法/技術，用於識別模式並為關鍵利益相關者和組織領導層提供有價值的洞察。
他是Apress出版的《Learn Tensorflow 2.0》和《Introduction to Prescriptive AI》的作者。
Avinash擁有孟買大學的電子工程學士學位，並在普納大學獲得了工商管理碩士學位（市場營銷）。他與妻子和孩子居住在班加羅爾。他喜歡到新地方旅行和閱讀激勵人心的書籍。
Shaleen是一位機器學習工程師，擁有4年以上在不同行業建立、部署和管理尖端機器學習解決方案的經驗。他開發了多個框架和平台，顯著簡化了流程並提高了機器學習團隊的效率。
Shaleen Bengani是《Operationalizing Machine Learning Pipelines》一書的作者，並在深度學習領域發表了三篇研究論文。
他擁有迪拜比茨皮拉尼大學的計算機科學和工程學士學位，並因全面表現優秀而獲得了校長獎章。在閒暇時間，他喜歡打乒乓球和閱讀。
Saravanan S是一位AI工程師，擁有超過六年的數據科學和數據工程經驗。他開發了強大的數據管道，用於開發和部署先進的機器學習模型、生成有洞察力的報告，並為不同行業提供尖端解決方案。
Saravanan在金奈的洛約拉學院獲得了統計學碩士學位。在閒暇時間，他喜歡旅行、閱讀書籍和玩遊戲。
