Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp

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Introduction to Artificial Intelligence and Machine Learning (1版)

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【簡介】 Helps students unlock the power of AI and Machine Learning to achieve business success and future-proof their careersArtificial intelligence and machine learning are transforming the modern workplace, making AI literacy a critical skill for business professionals. Introduction to Artificial Intelligence and Machine Learning equips students with essential AI/ML knowledge and practical skills, enabling them to leverage cutting-edge technology in today’s data-driven world. With an engaging and accessible approach, this textbook ensures that students--regardless of technical background--gain a working knowledge of AI/ML systems. Concise, easy-to-digest chapters blend foundational concepts with real-world applications to help students develop the expertise needed to implement AI/ML solutions across industries. For instructors, the textbook offers flexible teaching methodologies, whether focusing on conceptual discussions, light technology applications, or full AI/ML projects. With a clear business perspective and a strong emphasis on AI governance and deployment, the textbook prepares students to navigate the future of AI in the workplace with confidence. Helping students build a solid foundation in key concepts while exploring strategic implementation and ethical considerations, Introduction to Artificial Intelligence and Machine Learning is ideal for undergraduate and graduate students in business, engineering, and healthcare programs taking courses such as Business Analytics, Information Systems, and AI Strategy. AN INTERACTIVE, MULTIMEDIA LEARNING EXPERIENCEThis textbook includes access to an interactive, multimedia e-text. Icons throughout the print book signal corresponding digital content in the e-text. Video Clips created by the author complement the text and engage students more deeply with AI/ML concepts and applications.Interactive Figures and Charts are integrated throughout the enhanced e-text to provide engaging visual representations of the material.Interactive Questions appear in each chapter of the enhanced e-text, providing students with immediate feedback to strengthen learning.

Certiport ITS Artificial Intelligence 人工智慧核心能力國際認證應考攻略 (1版)

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【簡介】 　　Information Technology Specialist（ITS）是由Pearson VUE／Certiport推出符合產業趨勢的資訊科技認證，涵蓋IT資訊技術、資料庫、軟體研發、新興科技四大領域，透過 ITS 各項認證指標訓練，可驗證考生是否確實掌握業界所需與具備雇主所需的 IT 技能，幫助考生為未來職涯做好準備。  　　 　　本書整理了 ITS Artificial Intelligence 人工智慧 認證考科綱要所涵蓋的資訊技術與電腦技能，考生可透過精進學習本書各章節重點內容，迅速掌握應考方向。  【目錄】 Chapter 01 AI 問題定義  確認要透過人工智慧解決的問題  對問題進行分類  確認解決問題所需的專業領域  建立安全計劃  確保適當使用人工智慧  選擇透明度和驗證活動  Chapter 02 數據收集、處理和工程  選擇數據收集方式  評估數據品質  確保數據具有代表性  確認資源需求  將數據轉換為適當格式  為人工智慧模型選擇特徵  進行特徵工程  確定訓練和測試數據集  記錄數據決策  Chapter 03 人工智慧演算法與模型  考慮特定演算法的適用性  使用選定的演算法進行模型訓練  進行實驗後選擇特定的模型，避免過度工程  敘述數據故事  評估模型表現  尋找演算法中可能的偏見來源  評估模型敏感度  確認是否符合法規要求  獲得利害關係人的批准  Chapter 04 應用整合與部署  對客戶進行培訓  計劃應對模型在生產環境中的挑戰  設計生產流程，包括應用程式整合  提供對人工智慧解決方案的支援  Chapter 05 生產環境中的維護與監控  進行監督和監控  評估商業影響  測量 AI 對個人和社群的影響  處理來自用戶的反饋  定期考慮改進或停用的可能性  Chapter 06 模擬試題  ITS 資訊科技專家國際專業認證  Artificial Intelligence  人工智慧核心能力  Chapter 07 ITS 資訊科技專家國際認證原廠認證應考資訊  ITS 資訊科技專家國際認證  如何參加 Certiport ITS 國際認證考試  考前準備事項  帳號註冊  考後成績查詢與列印電子證書

Agentic Artificial Intelligence: Harnessing AI Agents to Reinvent Business, Work, and Life (1版)

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【簡介】 ’Agents are (...) bringing about the biggest revolution in computing since we went from typing commands to tapping on icons.’Bill Gates ’AI agents will become the primary way we interact with computers in the future.’Satya Nadella ’The age of agentic AI is here’Jensen Huang This book is a practical, non-technical guide for business leaders, professionals, and curious minds navigating the next frontier of AI.In a world where ChatGPT took us by storm, a far more powerful revolution is now unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society.However, behind the excitement lies a crucial reality: a significant gap between promise and reality.This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations -- from global enterprises to agile startups -- witnessing both remarkable successes and sobering failures.The question isn’t whether AI agents will transform your industry -- it’s how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity. Through illuminating case studies and hands-on experiments, the authors reveal: A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal lifeThe secrets behind today’s most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40%Approaches to seize the new opportunities of the Agent Economy -- new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunitiesHands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoptionThe new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly togetherThe profound impact of agentic AI on society, employment, education, and our personal livesAI agents create what the authors call ’compounding intelligence advantages’ -- the more they’re used, the smarter and more valuable they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next era of business.