Automated Machine Learning Tuning with FLAML

Dive into the world of Automated Machine Learning with this comprehensive 3-hour tutorial on FLAML (Fast and Lightweight AutoML). Learn from experts Dr. Qingyun Wu, Assistant Professor at Penn State University, and Dr. Chi Wang, Principal Researcher at Microsoft Research, as they guide you through the intricacies of this powerful Python library. Explore how FLAML efficiently finds accurate machine learning models, freeing users from the complexities of learner selection and hyperparameter tuning. Begin with an overview of AutoML and FLAML before engaging in hands-on exercises covering end-to-end automation of typical machine learning tasks, customization options, general tuning of user-defined functions, and zero-shot AutoML techniques. Conclude the session by examining open problems and challenges in AutoML practice, gaining valuable insights for your own machine learning projects.

Automated Machine Learning Tuning with FLAML