人工智能：从架构原则到部署的系统方法

English | 2024 | ISBN: 0262048981 | 577 Pages | PDF | 64 MB

The first text to take a systems engineering approach to artificial intelligence (AI), from architecture principles to the development and deployment of AI capabilities.

Most books on artificial intelligence (AI) focus on a single functional building block, such as machine learning or human-machine teaming. Artificial Intelligence takes a more holistic approach, addressing AI from the view of systems engineering. The book centers on the people-process-technology triad that is critical to successful development of AI products and services. Development starts with an AI design, based on the AI system architecture, and culminates with successful deployment of the AI capabilities. Directed toward AI developers and operational users, this accessibly written volume of the MIT Lincoln Laboratory Series can also serve as a text for undergraduate seniors and graduate-level students and as a reference book.

Key features In-depth look at modern computing technologies Systems engineering description and means to successfully undertake an AI product or service development through deployment Existing methods for applying machine learning operations (MLOps) AI system architecture including a description of each of the AI pipeline building blocks Challenges and approaches to attend to responsible AI in practice

《从架构原则到人工智能能力的开发和部署，采用系统工程方法来探讨人工智能（AI）》是第一本将系统工程方法应用于人工智能（AI）的研究书籍。大多数关于人工智能（AI）的书都专注于单一的功能构建块，比如机器学习或人机团队协作。相比之下，《人工智能》采取了更加综合的方法，从系统工程的角度审视AI。这本书围绕着至关重要的人员-过程-技术三元体展开，这是成功开发AI产品和服务所必需的关键要素。开发始于基于AI系统架构的AI设计，并最终实现AI能力的成功部署。本书旨在面向AI开发者和操作用户，同时也可作为本科生高年级学生和研究生级别的教材以及参考书。 关键特点 深入研究现代计算技术 通过部署来成功实施AI产品或服务开发的方法及其描述 现有应用于机器学习（MLOps）的操作方法 涵盖AI管道构建块的系统架构，包括每个模块的详细描述 对实践中负责任AI所面临的挑战及应对策略

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