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Responsible AI for Developers: Interpretability & Transparency
This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
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Published 6/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 113.84 MB | Duration: 50m 13s
This course introduces concepts of AI interpretability and transparency.
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 113.84 MB | Duration: 50m 13s
This course introduces concepts of AI interpretability and transparency.
This course introduces concepts of AI interpretability and transparency. It discusses the importance of AI transparency for developers and engineers. It explores practical methods and tools to help achieve interpretability and transparency in both data and AI models.
Homepage:
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Download link
rapidgator.net:
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nitroflare.com:
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