48 min
Creating your labeled training set, with Jonathan Laserson Unsupervised
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- Technology
How to learn from noisy data? Can you use free text to generate labels in an unsupervised manner? Jonathan Laserson, Lead AI researcher is Zebra Medical, tells us how they built the world's largest data set of chest X-ray images (1M) and trained a network that detects over 40 findings. Jonathan did his PhD in computer science at Stanford, where he specialized in Bayesian methods and probabilistic graphical models.
How to learn from noisy data? Can you use free text to generate labels in an unsupervised manner? Jonathan Laserson, Lead AI researcher is Zebra Medical, tells us how they built the world's largest data set of chest X-ray images (1M) and trained a network that detects over 40 findings. Jonathan did his PhD in computer science at Stanford, where he specialized in Bayesian methods and probabilistic graphical models.
48 min