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Top Stories, Nov 20-26: Deep Learning Specialization by Andrew Ng – 21 Lessons Learned; A Framework for Approaching Textual Data Science Tasks


Also: Estimating an Optimal Learning Rate For a Deep Neural Network; Automated Feature Engineering for Time Series Data; How (and Why) to Create a Good Validation Set; Building a Wikipedia Text Corpus for Natural Language Processing; The 10 Statistical Techniques Data Scientists Need to Master



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