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人工智能专业英语

封面

作者:吕云翔

页数:223

出版社:清华大学出版社

出版日期:2021

ISBN:9787302569008

电子书格式:pdf/epub/txt

内容简介

本书是面向人工智能专业英语课程的教材,全书共分为10个单元,分别为人工智能介绍、知识表示和推理、不确定性推理、人工智能的搜索方法、机器学习、人工神经网络、深度学习、强化学习、计算机视觉和自然语言处理。本书信息量大,知识性强,注重英语的听、说、读、写、译能力的全面培养和实际应用。各单元内容均分为阅读与翻译、写作、听与说三大部分; 采用场景式教学和体验式学习相结合的方式,融合了角色扮演、多人会话和小组讨论等行之有效的训练方法。
本书适合国内各类高校智能科学与技术、计算机科学与技术、软件工程等相关专业教学之用,也可作为其相关专业或IT领域人员的自学参考用书。

作者简介

吕云翔,1986-1992: 北方交通大学讲师; 1992-1994: 比利时VUB大学应用信息技术硕士; 1994-1996: 比利时VUB大学MBA; 1996-2003: IT公司项目经理 2003-至今: 北航软件学院副教授。已出版二十几本教材(其中“计算机导论实践教程”一书获北航2010年教学成果三等奖;

本书特色

本书适合人工智能初学者、相关行业从业人员以及高等院校计算机科学、软件工程等相关专业的师生阅读。

目录

目录

Contents

扩展资源

Unit 1Introduction to Artificial Intelligence00

Part 1Reading & Translating00

Section A: The Turing Test00

Section B: Benefits and Risks of Artificial Intelligence00

Part 2Simulated Writing: Uncovering the Secrets of Clear Writing (I)0

Part 3Listening & Speaking0

Dialogue: Artificial Intelligence 0

Listening Comprehension: Thinking Machines 0

Dictation: Intelligent Agent 0

Unit 2Knowledge Representation and Reasoning0

Part 1Reading & Translating0

Section A: Representing and Manipulating Knowledge0

Section B: Learning0

Part 2Simulated Writing: Uncovering the Secrets of Clear Writing (II)0

Part 3Listening & Speaking0

Dialogue: Knowledge Representation and Reasoning 0

Listening Comprehension: Logical Reasoning 0

Dictation: Semantic Networks 0

Unit 3Reasoning with Uncertainty0

Part 1Reading & Translating0

Section A: Reasoning with Uncertainty0

Section B: Probabilistic Reasoning0

Part 2Simulated Writing: Communicating with Social Media0

Part 3Listening & Speaking0

Dialogue: Reasoning with Uncertainty 0

Listening Comprehension: Fuzzy Logic 0

Dictation: Bayesian Network 0

Unit 4Search Methods in Artificial Intelligence0

Part 1Reading & Translating0

Section A: Heuristic Search0

Section B: Genetic Algorithms0

Part 2Simulated Writing: Using Presentation Software to Write0

Part 3Listening & Speaking0

Dialogue: Search Methods in Artificial Intelligence 0

Listening Comprehension: A最 Search 0

Dictation: Heuristic Search Techniques 0

Unit 5Machine Learning0

Part 1Reading & Translating0

Section A: Decision Tree in Machine Learning0

Section B: K瞞eans Clustering Algorithm and Example0

Part 2Simulated Writing: Developing Reports and Proposals(I)0

Part 3Listening & Speaking0

Dialogue: Machine Learning 0

Listening Comprehension: Supervised Learning 0

Dictation: Unsupervised Learning 0

Unit 6Artificial Neural Networks0

Part 1Reading & Translating

Section A: Artificial Neural Networks

Section B: Handwritten Digit Recognition

Part 2Simulated Writing: Developing Reports and Proposals(II)

Part 3Listening & Speaking

Dialogue: Artificial Neural Network

Listening Comprehension: Training Artificial Neural Networks

Dictation: Applications of Neural Networks

Unit 7Deep Learning

Part 1Reading & Translating

Section A: Deep Learning,Machine Learning,and AI

Section B: Convolutional Neural Network

Part 2Simulated Writing: Writing Professional Letters (I)

Part 3Listening & Speaking

Dialogue: Deep Learning

Listening Comprehension: Generative Adversarial Network

Dictation: Recurrent Neural Network

Unit 8Reinforcement Learning

Part 1Reading & Translating

Section A: Reinforcement Learning,Deep Learning餾 Partner

Section B: AlphaGo Zero: Starting from Scratch

Part 2Simulated Writing: Writing Professional Letters (II)

Part 3Listening & Speaking

Dialogue: Reinforcement Learning

Listening Comprehension: Deep Reinforcement Learning

Dictation: Reinforcement Learning Challenges

Unit 9Computer Vision

Part 1Reading & Translating

Section A: What餾 the Difference between Computer Vision,

Image Processing and Machine Learning?

Section B: Using Vision for Controlling Movement

Part 2Simulated Writing: Writing for Employment (I)

Part 3Listening & Speaking

Dialogue: Computer Vision

Listening Comprehension: Pattern Recognition

Dictation: Artificial Intelligence,Machine Learning,Deep Learning,

and Computer Vision…What is the Difference?

Unit 10Natural Language Processing

Part 1Reading & Translating

Section A: Language Understanding

Section B: Natural Language Processing vs.Machine Learning vs.

Deep Learning

Part 2Simulated Writing: Writing for Employment (II)

Part 3Listening & Speaking

Dialogue: Natural Language Processing

Listening Comprehension: Speech Recognition

Dictation: Natural Language Understanding

Glossary

Abbreviations

Answers

Bibliography

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Article Title:《人工智能专业英语》
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