In this course we will learn about Recommender Systems (which we will study for the Capstone project), and also look at deployment issues for data products. By the end of this course, you should be able to implement a working recommender system (e.g. to predict ratings, or generate lists of related products), and you should understand the tools and techniques required to deploy such a working system on real-world, large-scale datasets.阅读更多.
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Deploying Machine Learning Models 中涵盖的技术和工具与 数据科学家 招聘广告中的要求最为相似。
