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人工智能专业英语 版权信息
- ISBN:9787302569008
- 条形码:9787302569008 ; 978-7-302-56900-8
- 装帧:70g胶版纸
- 册数:暂无
- 重量:暂无
- 所属分类:>>
人工智能专业英语 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。
人工智能专业英语 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。
人工智能专业英语 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* Search 0
Dictation: Heuristic Search Techniques 0
Unit 5Machine Learning0
Part 1Reading & Translating0
Section A: Decision Tree in Machine Learning0
Section B: Kmeans 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 Learnings 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: Whats 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
附赠学习视频
人工智能专业英语 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;
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