ABCD四大前沿技术必读书单：人工智能/区块链/云计算/数据科学权威指南
ABCD四大前沿技术必读书单：人工智能/区块链/云计算/数据科学权威指南
Must-Read Booklist for ABCD Technologies: AI/Blockchain/Cloud Computing/Data Science
导读：业界将人工智能（AI）、区块链（Blockchain）、云计算（Cloud Computing）和数据科学（Data Science）统称为"ABCD四大技术支柱"，这些领域正在重塑全球数字化未来。
Introduction: The tech industry collectively refers to Artificial Intelligence (AI), Blockchain, Cloud Computing and Data Science as the "ABCD technology pillars" that are reshaping our digital future.
人工智能（AI）必读书籍 | AI Must-Reads
人工智能是模拟人类智能的跨学科科学，涵盖机器学习、计算机视觉等领域，目标是让机器完成复杂的人类智能任务。
Artificial Intelligence is an interdisciplinary science that simulates human intelligence, covering machine learning, computer vision, etc., aiming to enable machines to perform complex human intelligence tasks.
1.《智慧的疆界》 - 周志明
1. "The Boundaries of Intelligence" - Zhou Zhiming
Java虚拟机专家周志明新作，从五个维度系统解读AI发展历程。
2.《智能计算系统》 - 陈云霁团队
2. "Intelligent Computing Systems" - Chen Yunji Team
寒武纪芯片研发团队撰写，AI系统能力培养的权威教材。
区块链（Blockchain）权威指南 | Blockchain Guides
区块链作为共享数据库，具有不可伪造、全程留痕等特征，是建立数字信任的关键技术。
As a shared database, blockchain features unforgeability and full traceability, making it a key technology for establishing digital trust.
4.《区块链：原理、设计与应用》 - 杨保华
4. "Blockchain: Principles, Design and Applications" - Yang Baohua
超级账本核心开发者撰写，区块链开发落地实践指南。
5.《精通区块链编程》 - Andreas Antonopoulos
5. "Mastering Blockchain Programming" - Andreas Antonopoulos
加密货币领域经典著作，详细解析区块链金融应用。
云计算（Cloud Computing）专业书籍 | Cloud Computing Resources
云计算通过分布式计算提供强大的网络服务，是现代IT基础设施的核心。
Cloud computing provides powerful network services through distributed computing, forming the core of modern IT infrastructure.
7.《云原生应用管理》 - 阿里云团队
7. "Cloud Native Application Management" - Alibaba Cloud Team
详解Helm等四大云原生工具原理与实践。
9.《云原生应用构建》 - 魏新宇
9. "Building Cloud Native Applications" - Wei Xinyu
OpenShift专家撰写，获多家云厂商架构师推荐。
数据科学（Data Science）学习路径 | Data Science Learning Path
数据科学作为跨学科领域，正在成为数字经济时代的核心能力。
As an interdisciplinary field, data science is becoming a core competency in the digital economy era.
10.《数据分析即未来》 - Gregory Nelson
10. "Data Analysis as the Future" - Gregory Nelson
提供完整的数据分析生命周期指南。
12.《数据科学导论：Python语言》 - Alberto Boschetti
12. "Introduction to Data Science with Python" - Alberto Boschetti
涵盖机器学习算法和图分析技术的实用教程。
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