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Conference: Transform X 2022
Authors: François Chollet
2022-10-19
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The presentation discusses the need to make machine learning (ML) universally accessible to developers who are not ML experts. The speaker emphasizes the importance of UX design, componentry use, and automation in empowering developers to use ML effectively.
- ML is moving at an incredible speed and has the potential to transform various industries.
- To realize the full potential of ML, it needs to be accessible to anyone with an idea and some coding skills.
- The Responsible AI Toolkit is a suite of tools and resources that can help developers address safety concerns at each stage of the model development process.
- Progressive disclosure of complexity is a key design principle in making ML accessible to developers.
- Keras API provides a range of workflows from the very high level to the very low level, corresponding to different user profiles.
- Avoiding API silos is important in making ML accessible to developers.
- The speaker encourages developers to check out the Model Remediation Package to address bias in Keras models.