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 VanschorenLee mas.
Las técnicas y herramientas cubiertas en AutoML: Methods, Systems, Challenges son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
