Noise in Machine Learning
Iordanis discusses the inherent noise in both classical and quantum data, emphasizing how machine learning algorithms must effectively discern patterns despite this noise. He highlights the role of artificial noise in training neural networks to enhance robustness and privacy, suggesting that adding noise can obscure sensitive data while still allowing for useful insights to be extracted.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Quantum Machine Learning: The Next Frontier? - With Iordanis Kerenidis - #397
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