Keynote 1: Automatic Machine Learning with AutoGluon - Algorithms, Domains, Applications by Alex Smola, VP and Distinguished Scientist at Amazon Web Services
AutoML is the ultimate challenge for machine learning algorithms. After all, design choices need to be automatic and tools need to work reliably all the time, within a given budget for computation and time. This poses exciting and (many unsolved) problems both in terms of model selection, calibration, optimization, adaptive design of priors, and data detection. In this talk I give an overview of the associated scientific problems and the current state of the art in terms of what goes into AutoGluon.
- Alex Smola: Automatic Machine Learning with AutoGluon - Algorithms, Domains, Applications ( Download)
- ML Confidential or The case for AutoML ( Download)
- 1.1 Linear and Logistic Regression ( Download)
- Applied AI Research at AWS with Alex Smola - #487 ( Download)
- AutoGluon: Empowering (Multimodal) AutoML for the Next 10 Million Users ( Download)
- AutoML using AutoGluon - Image Classification Demo ( Download)
- AutoGluon - Get on the AutoML-Wagon | Brighton R ( Download)
- Tutorial 2: AutoML with Tabular data - Data Processing (KDD 2020) ( Download)
- AWS Machine Learning and Open Source ( Download)
- Tutorial 4: AutoML with Tabular data - Inference (KDD 2020) ( Download)
- Aleksandr Patrushev - Use AutoML to Create High-Quality Models | PyData Yerevan 2022 ( Download)
- Trente minutes Snowflake & Sagemaker (AutoGluon) ( Download)
- AutoGluon: Powerful and Easy-to-use AutoML for Text, Image, and Tabular Data ( Download)
- KDD 2020: Hands-on Tutorials: Faster, Simpler, More Accurate-Part 2 ( Download)
- AutoGluon + Nvidia Rapids-Advancing the State of the Art in AutoML,Now 10x Faster with NVIDIA RAPIDS ( Download)
