卡耐基梅隆大学 17-445 智能系统软件工程 Software Engineering for AI-Enabled Systems(Summer 2020)

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卡耐基梅隆大学 CMU 17-455 Software Engineering for AI-Enabled Systems 2020年夏季智能系统软件工程课程(英文字幕) 课程主页(课件,大纲):https://ckaestne.github.io/seai/S2020/
星星之火,可以燎原
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Lecture 1 Introduction and Motivation
54:34
Lecture 2 Artificial Intelligence for Software Engineers 1 (ML Basics)
01:22:41
Lecture 3 Artificial Intelligence for Software Engineers 2 (Notebooks and Deep L
01:22:20
Lecture 4 Model Quality
01:20:33
Lecture 5 From Models to AI-Enabled Systems
01:13:34
Lecture 6 Goals and Success Measures for AI-Enabled Systems
01:12:14
Lecture 7 Tradeoffs among AI Techniques
01:21:22
Lecture 8 Risks and Dealing with Mistakes
01:16:23
Lecture 9 Software Architecture of AI-Enabled Systems
01:14:24
Lecture 10 Quality Assessment in Production
01:18:46
Lecture 11 Data Quality
01:07:16
Lecture 12 Data Programming and Intro to Big Data Processing
33:05
Lecture 13 Managing and Processing Large Datasets
01:21:27
Lecture 14 Infrastructure Quality, Deployment and Operations
01:04:55
Lecture 15 Ethics and Fairness
01:18:38
Lecture 16 Building Fairer AI-Enabled Systems
01:19:24
Lecture 17 Explainability and Interpretability (Part 1)
01:17:46
Lecture 18 Explainability and Interpretability (Part 2)
01:21:51
Lecture 19 Versioning, Provenance, and Reproducibility
01:18:29
Lecture 20 Security, Adversarial Learning, and Privacy
01:18:25
Lecture 21 Safety
01:17:38
Lecture 22 Fostering Interdisciplinary Teams
01:18:57
Lecture 23 Summary & Reflection
01:13:53
Lecture 24 Invited Talk Molham Aref _Business Systems with Machine Learning_
47:53
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