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AutoML: Methods, Systems, Challenges

描述

The books in this innovative series collect papers written in the context of successful competitions in machine learning. They also include analyses of the challenges, tutorial material, dataset descriptions, and pointers to data and software. Together with the websites of the challenge competitions, they offer a complete teaching toolkit and a valuable resource for engineers and scientists.

By Frank Hutter, Lars Kotthoff, and Joaquin Vanschoren阅读更多.

按照数据工作岗位排列职业相关性

AutoML: Methods, Systems, Challenges 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。

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