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.
Decoding AI: A Deep Dive into AI Models and Predictions
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Decoding AI: A Deep Dive into AI Models and Predictions
This course is part of Understanding Data: Navigating Statistics, Science, and AI Specialization
Instructor: Elle O'Brien
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24 reviews
Beginner level
Recommended experience
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
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
Skills you'll gain
Tools you'll learn
Details to know
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Assessments
5 assignments
Taught in English
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This course is part of the Understanding Data: Navigating Statistics, Science, and AI Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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Reviewed on Jun 14, 2024
Very thoughtful course! Incredibly clear analysis of the topic and very well-organized!
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