人工智能核心技术

English | June 1, 2024 | ASIN: B0D5WZCKVW | PDF | 13 Mb

Unlock the transformative potential of artificial intelligence with "Core Technologies of Artificial Intelligence." This comprehensive guide demystifies the intricate world of AI, offering readers an in-depth understanding of the fundamental technologies driving this revolutionary field. Perfect for students, professionals, and AI enthusiasts, this book provides a structured learning path from basic concepts to advanced methodologies.

Explore essential topics such as machine learning, deep learning, natural language processing, AI in robotics, and the latest advancements like quantum computing and neuromorphic engineering. Each chapter is meticulously designed to build on the previous one, ensuring a cohesive and engaging learning experience.

Key Features

Advanced Machine Learning Techniques: Master complex methods, including ensemble methods, feature engineering, and model optimization. Deep Learning Architectures: Gain expertise in deep learning models such as CNNs, RNNs, Transformers, Autoencoders, and GANs. Natural Language Processing: Understand advanced NLP methodologies, from sentiment analysis to speech recognition technologies. AI in Robotics: Learn about the integration of AI in robotics, covering human-robot interaction and autonomous vehicles. Ethical AI Implementation: Explore the ethical implications of AI, focusing on fairness, privacy, regulatory compliance, and transparency. Emerging Technologies: Stay updated with the latest AI advancements, including quantum computing, AI at the edge, and biologically inspired AI. Hands-On Learning: Engage with practical exercises, coding examples, and real-world case studies that bring theoretical concepts to life. Apply what you learn through hands-on activities and projects included in each chapter.

Ethical Considerations and Societal Impact: Delve into the ethical dimensions of AI development, emphasizing the importance of responsible and sustainable practices. Understand how AI can be both a tool for social transformation and a source of potential risks.

中文|2024年6月1日|ASIN:B0D5WZCKVW|PDF|13 Mb通过“人工智能核心技术”解锁人工智能的变革潜力。这本全面的指南揭开了人工智能复杂世界的神秘面纱，让读者深入了解推动这一革命性领域的基础技术。这本书非常适合学生、专业人士和人工智能爱好者，它提供了一条从基本概念到高级方法的结构化学习路径。 探索机器学习、深度学习、自然语言处理、机器人中的人工智能以及量子计算和神经形态工程等最新进展等基本主题。每一章都是在前一章的基础上精心设计的，确保了连贯和引人入胜的学习体验。 主要特点 高级机器学习技术：掌握复杂的方法，包括集成方法、特征工程和模型优化。深度学习架构：获得深度学习模型的专业知识，如CNN、RNN、Transformer、自编码器和GANs。自然语言处理：了解高级NLP方法，从情感分析到语音识别技术。机器人中的人工智能：了解人工智能在机器人技术中的整合，涵盖人机交互和自动驾驶汽车。伦理人工智能实施：探索人工智能的伦理影响，重点关注公平、隐私、监管合规和透明度。新兴技术：了解最新的人工智能进展，包括量子计算、边缘人工智能和生物启发的人工智能。动手学习：参与实践练习、编码示例和现实案例研究，将理论概念变为现实。通过每章中包含的实践活动和项目应用你所学到的知识。 伦理考虑和社会影响：深入研究人工智能发展的伦理维度，强调负责任和可持续实践的重要性。了解人工智能如何既是社会转型的工具，也是潜在风险的来源。

---

Download from free file storage

 Download from rapidgator.net  Download from nitroflare.com

---

我要反馈

---

本站不对文件进行储存，仅提供文件链接，请自行下载，本站不对文件内容负责，请自行判断文件是否安全，如发现文件有侵权行为，请联系管理员删除。