For 20 years I used a wide variety of machine learning and optimization algorithms to tackle predictive modeling challenges in many fields. But today, I find that deep learning gives me the best results for most problems I tackle, including solving problems that previously were out of reach. Furthermore, I find that deep learning generally requires less manual tweaking, leading to fewer errors and quicker results. Here, I discuss what I’ve learned on this journey, and describe why I believe nearly all data scientists should invest heavily in becoming effective deep learning practitioners.
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