Building a Production Machine Learning Infrastructure

http://machinelearningmastery.com/building-a-production-machine-learning-infrastructure/

He says that there are two types of data scientist, the first type is a statistician that got good at programming. The second is a software engineer who is smart and got put on interesting projects. He says that he himself is this second type of data scientist.

He comments that academic machine learning is basically applied mathematics, specifically applied optimization theory, and this is how it is taught in an academic setting and in text books. Industrial machine learning is different.(学术界的机器学习主要是应用数学,尤其是应用优化理论,而工业界的机器学习则完全不同):

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