Building Intelligent AI Agents with Python: From Fundamentals to Scalable Systems: Hands-On Python Development with LangChain, Reinforcement Learning,
暫譯: 使用 Python 建立智能 AI 代理:從基礎到可擴展系統:使用 LangChain 和強化學習的實作 Python 開發
Thornwell, Elias
- 出版商: Independently Published
- 出版日期: 2025-09-29
- 售價: $910
- 貴賓價: 9.8 折 $891
- 語言: 英文
- 頁數: 198
- 裝訂: Quality Paper - also called trade paper
- ISBN: 9798267628716
- ISBN-13: 9798267628716
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相關分類:
LangChain、Reinforcement、Python
海外代購書籍(需單獨結帳)
商品描述
Unlock the potential of artificial intelligence with Building Intelligent AI Agents with Python: From Fundamentals to Scalable Systems. This comprehensive guide empowers developers, data scientists, and technology enthusiasts to create cutting-edge AI agents using Python. Dive into the world of machine learning, deep learning, and reinforcement learning to build intelligent systems capable of autonomous decision-making, task automation, and real-world problem-solving. Through 13 meticulously crafted chapters, this book offers hands-on projects, practical techniques, and best practices for designing, deploying, and optimizing AI agents.
From reactive chatbots to sophisticated multi-agent systems, you'll learn to harness Python's powerful libraries to develop scalable, production-ready solutions for industries like healthcare, finance, and retail. Whether you're a beginner with programming knowledge or an experienced engineer, this book provides the tools and strategies to create impactful AI agents that drive innovation and efficiency.
What You'll Learn:
From reactive chatbots to sophisticated multi-agent systems, you'll learn to harness Python's powerful libraries to develop scalable, production-ready solutions for industries like healthcare, finance, and retail. Whether you're a beginner with programming knowledge or an experienced engineer, this book provides the tools and strategies to create impactful AI agents that drive innovation and efficiency.
What You'll Learn:
- Core principles of AI agent design, from reactive bots to autonomous systems.
- Practical applications of machine learning, deep learning, and reinforcement learning.
- Step-by-step guidance for building chatbots, autonomous agents, and multi-agent frameworks.
- Techniques for deploying, scaling, and monitoring AI agents in real-world environments.
- Strategies for model optimization, continuous improvement, and addressing ethical challenges.
商品描述(中文翻譯)
釋放人工智慧的潛力,透過《Building Intelligent AI Agents with Python: From Fundamentals to Scalable Systems》。這本全面的指南使開發者、數據科學家和科技愛好者能夠使用 Python 創建尖端的 AI 代理。深入機器學習、深度學習和強化學習的世界,構建能夠自主決策、任務自動化和解決現實問題的智能系統。透過 13 章精心設計的內容,本書提供了實作專案、實用技術和設計、部署及優化 AI 代理的最佳實踐。
從反應式聊天機器人到複雜的多代理系統,您將學會利用 Python 的強大庫來開發可擴展、適合生產的解決方案,應用於醫療、金融和零售等行業。無論您是具備程式設計知識的初學者,還是經驗豐富的工程師,本書都提供了創建具有影響力的 AI 代理所需的工具和策略,推動創新和效率。
您將學到的內容:
- AI 代理設計的核心原則,從反應式機器人到自主系統。
- 機器學習、深度學習和強化學習的實際應用。
- 構建聊天機器人、自主代理和多代理框架的逐步指導。
- 在現實環境中部署、擴展和監控 AI 代理的技術。
- 模型優化、持續改進和解決倫理挑戰的策略。
加入 AI 革命,構建塑造未來的智能系統,讓每一行 Python 程式碼都成為改變的力量。