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[ DevCourseWeb com ] Linkedin - Executive Guide to Human-in-the-Loop Machine Learning and Data Annotation
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01 - Introduction
01 - Meet the human-in-the-loop.mp4
01 - Meet the human-in-the-loop.srt
02 - 1. Introducing Human-in-the-Loop
01 - Human-in-the-loop is everywhere.mp4
01 - Human-in-the-loop is everywhere.srt
02 - What is supervised machine learning.mp4
02 - What is supervised machine learning.srt
03 - Defining human-in-the-loop.mp4
03 - Defining human-in-the-loop.srt
04 - The rise of human-in-the-loop.mp4
04 - The rise of human-in-the-loop.srt
03 - 2. Common Use Cases
01 - Healthcare use cases.mp4
01 - Healthcare use cases.srt
02 - Autonomous use cases.mp4
02 - Autonomous use cases.srt
03 - Natural language use cases.mp4
03 - Natural language use cases.srt
04 - Reinforcement learning with human feedback (RLHF).mp4
04 - Reinforcement learning with human feedback (RLHF).srt
04 - 3. The Data Annotation Ecosystem
01 - The world of data annotation vendors.mp4
01 - The world of data annotation vendors.srt
02 - Data annotation as a skill.mp4
02 - Data annotation as a skill.srt
03 - The ethics of data annotation.mp4
03 - The ethics of data annotation.srt
04 - Data annotation software vendors.mp4
04 - Data annotation software vendors.srt
05 - 4. Managing a Data Annotation Project
01 - Quality control.mp4
01 - Quality control.srt
02 - Sampling.mp4
02 - Sampling.srt
03 - Considerations when managing your own project.mp4
03 - Considerations when managing your own project.srt
04 - Being data-centric.mp4
04 - Being data-centric.srt
06 - Conclusion
01 - Next steps.mp4
01 - Next steps.srt
Bonus Resources.txt
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