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Roughly a year ago, we wrote “ What machinelearning means for software development.” In that article, we talked about Andrej Karpathy’s concept of Software 2.0. Karpathy argues that we’re at the beginning of a profound change in the way software is developed. Instead, we can program by example.
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2) “Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville. Best for: This best data science book is especially effective for those looking to enter the data-driven machinelearning and deep learning avenues of the field. 4) “MachineLearning Yearning” by Andrew Ng.
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