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。
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| 电子书 | 人工智能专业英语(在线音频版)/清华科技大讲堂丛书 |
| 分类 | 电子书下载 |
| 作者 | |
| 出版社 | 清华大学出版社 |
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| 介绍 |
内容推荐 目录 Unit 1 Introduction to Artificial Intelligence
Part 1 Reading & Translating Section A: The Turing Test Section B: Benefits and Risks of Artificial Intelligence Part 2 Simulated Writing: Uncovering the Secrets of Clear Writing (I) Part 3 Listening & Speaking Dialogue: Artificial Intelligence Listening Comprehension: Thinking Machines Dictation: Intelligent Agent Unit 2 Knowledge Representation and Reasoning Part 1 Reading & Translating Section A: Representing and Manipulating Knowledge Section B: Learning Part 2 Simulated Writing: Uncovering the Secrets of Clear Writing (II) Part 3 Listening & Speaking Dialogue: Knowledge Representation and Reasoning Listening Comprehension: Logical Reasoning Dictation: Semantic Networks Unit 3 Reasoning with Uncertainty Part 1 Reading & Translating Section A: Reasoning with Uncertainty Section B: Probabilistic Reasoning Part 2 Simulated Writing: Communicating with Social Media Part 3 Listening & Speaking Dialogue: Reasoning with Uncertainty Listening Comprehension: Fuzzy Logic Dictation: Bayesian Network Unit 4 Search Methods in Artificial Intelligence Part 1 Reading & Translating Section A: Heuristic Search Section B: Genetic Algorithms Part 2 Simulated Writing: Using Presentation Software to Write Part 3 Listening & Speaking Dialogue: Search Methods in Artificial Intelligence Listening Comprehension: A* Search Dictation: Heuristic Search Techniques Unit 5 Machine Learning Part 1 Reading & Translating Section A: Decision Tree in Machine Learning Section B: Kmeans Clustering Algorithm and Example Part 2 Simulated Writing: Developing Reports and Proposals(I) Part 3 Listening & Speaking Dialogue: Machine Learning Listening Comprehension: Supervised Learning Dictation: Unsupervised Learning Unit 6 Artificial Neural Networks Part 1 Reading & Translating Section A: Artificial Neural Networks Section B: Handwritten Digit Recognition Part 2 Simulated Writing: Developing Reports and Proposals(II) Part 3 Listening & Speaking Dialogue: Artificial Neural Network Listening Comprehension: Training Artificial Neural Networks Dictation: Applications of Neural Networks Unit 7 Deep Learning Part 1 Reading & Translating Section A: Deep Learning，Machine Learning，and AI Section B: Convolutional Neural Network Part 2 Simulated Writing: Writing Professional Letters (I) Part 3 Listening & Speaking Dialogue: Deep Learning Listening Comprehension: Generative Adversarial Network Dictation: Recurrent Neural Network Unit 8 Reinforcement Learning Part 1 Reading & Translating Section A: Reinforcement Learning，Deep Learnings Partner Section B: AlphaGo Zero: Starting from Scratch Part 2 Simulated Writing: Writing Professional Letters (II) Part 3 Listening & Speaking Dialogue: Reinforcement Learning Listening Comprehension: Deep Reinforcement Learning Dictation: Reinforcement Learning Challenges Unit 9 Computer Vision Part 1 Reading & Translating Section A: Whats the Difference between Computer Vision， Image Processing and Machine Learning? Section B: Using Vision for Controlling Movement Part 2 Simulated Writing: Writing for Employment (I) Part 3 Listening & Speaking Dialogue: Computer Vision Listening Comprehension: Pattern Recognition Dictation: Artificial Intelligence，Machine Learning，Deep Learning， and Computer Vision...What is the Difference？ Unit 10 Natural Language Processing Part 1 Reading & Translating Section A: Language Understanding Section B: Natural Language Processing vs．Machine Learning vs． Deep Learning Part 2 Simulated Writing: Writing for Employment (II) Part 3 Listening & Speaking Dialogue: Natural Language Processing Listening Comprehe |
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