Automated Machine Learning (AutoML) is a set of techniques and tools that automate many redundant tasks in building machine learning models. This can include data preprocessing, feature engineering, ...
This is a collection of slides we used on AutoML tutorials/workshops. - [AAAI 2022 Tutorial: Automated Learning from Graph-Structured Data](https://quanmingyao.github ...
Google said today it’s bringing its Cloud AutoML service for training machine learning algorithms to Kaggle, its online community for data scientists. Cloud AutoML is a cloud-based toolkit that ...
When businesses identify a problem that can be solved through machine learning, they brief the data scientists and analysts to create a predictive analytics solution. In many cases, the turnaround ...
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 ...
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 ...
Data science and machine learning developers are among the hottest jobs in the world right now. In 2012 I and my co-author DJ Patil (who went on to become the first Chief Data Scientist of the United ...