Recent AutoML models could beat top Data Scientists in several competitions on Kaggle in terms of score and time. But how do they do so? This presentation will show approaches and techniques applied in the modern AutoML models, which could enrich the toolbox of Data Scientists and be applied in day-to-day work.
- What is AutoML? Why it is a hot topic in the modern world?
- Overview of recent achievements and approaches in AutoML with usage examples.
- What is the future of AutoML? How it will affect the DS pipeline? How it could be used both by Data Scientists and non Data Scientists?