机器学习模型的构建过程历来需要大量的手动调参工作，包括超参数优化、算法选择和特征工程等环节，往往需要数周的时间投入。尽管这种传统的开发模式仍然存在，但AutoML技术的发展已经显著简化了这一过程。 经过多年的AutoML库实践经验，这些工具已经深刻 ...

Just before 9 am last Thursday, an unusual speed dating scene sprang up in San Francisco. A casually dressed crowd, mostly male, milled around a gilt-edged Beaux Arts ballroom on Nob Hill. Pairs and ...

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 ...

JINAN, China, Dec. 7, 2018 /PRNewswire/ -- At the 3rd AutoML Challenge, GrandMasters, a team of AI engineers from Inspur Group, Beijing University of Posts and Telecommunications (BUPT), and Central ...

AI has become one of the great, meaningless buzzwords of our time. In this video, the Chief Data Scientist of Dun and Bradstreet explains AI in clear business terms. Read now Google plans to automate ...

There's an irony around Artificial Intelligence (AI) work: it involves a lot of manual, trial and error effort to build predictive models with the highest accuracy ...

MACAU, April 18, 2019 /PRNewswire/ -- One of the most high-profile conferences and competitions in the Machine Learning (ML) world has recently concluded. The winners of the Pacific-Asia Conference on ...

Leader in real-world AI for business impact launches Aible Advanced, the first true AutoML solution Platform automates the machine learning process from data-to-impact to generate the best predictive ...

This past month I attended the AI for Finance show in New York where I was the host for a one-hour "tech talk" on the subject of AutoML in the world of financial services. With over 150 people in ...

In the early days of deep learning, models were bespoke creations hand-built from hand-curated data and hand-tuned by experienced experts using combinations of well-known approaches and ad-hoc ...