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  • ISBN:9787302569008
  • 装帧:70g胶版纸
  • 册数:暂无
  • 重量:暂无
  • 开本:其他
  • 页数:223
  • 出版时间:2021-05-01
  • 条形码:9787302569008 ; 978-7-302-56900-8

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。

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。

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: Kmeans 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s 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s 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




展开全部

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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