State-of-the-art machine learning/AI systems consist of complex pipelines with choices of hyperparameters, models and configuration details that need to be tuned for optimal performance. The resulting ...

Abstract: Machine learning (ML) has been widely adopted in modern software, but the manual configuration of ML (e.g., hyper-parameter configuration) poses a significant challenge to software ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Abstract: The introduction of Automated Machine Learning (AutoML) can be considered a game-changing development in the field of data science and more specifically, in the area of big data analytics.

Antonia Haynes is a Game Rant writer who resides in a small seaside town in England where she has lived her whole life. Beginning her video game writing career in 2014, and having an avid love of ...

Automated Machine Learning has become essential in data-driven decision-making, allowing domain experts to use machine learning without requiring considerable statistical knowledge. Nevertheless, a ...

Although AutoML rose to popularity a few years ago, the ealy work on AutoML dates back to the early 90’s when scientists published the first papers on hyperparameter optimization. It was in 2014 when ...

Recently, professors Risheng Liu from Dalian University of Technology and Zhouchen Lin from Peking University collaborated on an opinion article published in the National Science Review (NSR). Their ...

1 Wuhan Children’s Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China 2 Department of Epidemiology, ...