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_lecture-11-introduction-to-neural-networks-124-stanford-cs229-machine-learning-autumn-2018.webp "Stanford Online")
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_lecture-6-support-vector-machines-124-stanford-cs229-machine-learning-andrew-ng-autumn-2018.webp "Stanford Online")
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_stanford-cs229-machine-learning-course-lecture-1-andrew-ng-autumn-2018.webp "Stanford Online")
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_lecture-4-perceptron-amp-generalized-linear-model-124-stanford-cs229-machine-learning-autumn-2018.webp "Stanford Online")
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_lecture-5-gda-amp-naive-bayes-124-stanford-cs229-machine-learning-andrew-ng-autumn-2018.webp "Stanford Online")
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_lecture-13-debugging-ml-models-and-error-analysis-124-stanford-cs229-machine-learning-autumn-2018.webp "Stanford Online")
Lecture 13 - Debugging ML Models and Error Analysis | Stanford CS229: Machine Learning (Autumn 2018)
⏲ 1 hour 18 minutes 55 seconds 👁 37.3K
_lecture-10-decision-trees-and-ensemble-methods-124-stanford-cs229-machine-learning-autumn-2018.webp "Stanford Online")
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_stanford-cs229-machine-learning-linear-regression-and-gradient-descent-124-lecture-2-autumn-2018.webp "Stanford Online")
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_lecture-7-kernels-124-stanford-cs229-machine-learning-andrew-ng-autumn-2018.webp "Stanford Online")
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_stanford-cs230-deep-learning-124-autumn-2018-124-lecture-8-career-advice-reading-research-papers.webp "Stanford Online")
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