人工智能专业英语 在线音频版

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。

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。

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
Section A： Decision Tree in Machine Learning
Section B： K-means 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 Learnings 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： Whats 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 Comprehension： Speech Recognition
Dictation： Natural Language Understanding

Glossary
Abbreviations
Answers
Bibliography