Decoding AI: A Deep Dive into AI Models and Predictions explores the significance of large datasets, demystifies generative artificial intelligence (AI), and challenges common media myths about AI. By defining key terms and exploring how systems “learn” from data, you will gain a baseline understanding of how AI works. Work to understand different critiques of AI narratives, learn to navigate conversations with precision, discern conflicts of interest, and appreciate the multidisciplinary expertise needed to shape AI's impact on society. This course provides you with the strategies and frameworks to engage in better conversation about the role of AI in your work and beyond.

您将学到什么
Learn key concepts and terminology in artificial intelligence (AI), including machine learning, generative AI, and deep learning
Learn the core components of machine learning systems, including data, models, and evaluation techniques
Recognize why AI systems can fail and identify the kinds of work required to make useful technology
Identify common pitfalls in conversations about AI and recognize conflicts of interest when interpreting claims about AI systems
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要了解的详细信息

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作业
5 项作业
授课语言:英语(English)
了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识
本课程是 Understanding Data: Navigating Statistics, Science, and AI 专项课程 专项课程的一部分
在注册此课程时,您还会同时注册此专项课程。
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University of Michigan

O.P. Jindal Global University
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88%
- 4 stars
8%
- 3 stars
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SH
已于 Jun 14, 2024审阅
Very thoughtful course! Incredibly clear analysis of the topic and very well-organized!





