Machine Learning Cautions
Developers should approach machine learning as a service with caution, particularly regarding security and privacy concerns. While these one-click solutions are convenient, they may not always be optimized. It's crucial to understand the data being used, ensuring that sensitive information is handled appropriately before deployment.In this clip
From this podcast
Software Engineering Radio - the podcast for professional software developers
Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning
Related Questions
Can you explain more about how AI models are trained, specifically in the context of the episode Episode 395: Katharine Jarmul on Security and Privacy in Machine Learning and the clip Understanding Machine Learning?
What are the challenges in machine learning?
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