AutoML, or automated machine learning, offers the promise of transforming raw data into accurate predictions with minimal human intervention, expertise, and manual experimentation. In this talk, we will introduce AutoGluon, a cutting-edge toolkit that enables AutoML for tabular, multimodal and time series data. AutoGluon emphasizes usability, enabling a wide variety of tasks from regression to time series forecasting and image classification through a unified and intuitive API. We will specifically focus on tasks on tabular and time series tasks where AutoGluon is the current state-of-the-art, and demonstrate how AutoGluon can be used to achieve competitive performance on tabular and time series competition data sets. We will also discuss the techniques used to automatically build and train these models, peeking under the hood of AutoGluon.
- Caner Turkmen, Oleksandr Shchur: AutoGluon - AutoML for Tabular, Multimodal and Time Series Data ( Download)
- [AUTOML23] AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting ( Download)
- [AUTOML23] AutoGluon–TimeSeries: AutoML for Probabilistic Time Series Forecasting Teaser ( Download)
- Tutorial 1: AutoML with Tabular data - Using AutoGluon (KDD 2020) ( Download)
- [AUTOML23] AutoGluon v1.0 – Shattering the AutoML Ceiling ( Download)
- AutoGluon: Empowering (Multimodal) AutoML for the Next 10 Million Users ( Download)
- Tutorial 8: AutoML with Text data - Using AutoGluon (KDD 2020) ( Download)
- AutoML Fall School 2022 - Hands-on tutorial AutoGluon ( Download)
- AutoML for Time Series forecasting ( Download)
- AutoGluon: Powerful and Easy-to-use AutoML for Text, Image, and Tabular Data ( Download)
- Aleksandr Patrushev - Use AutoML to Create High-Quality Models | PyData Yerevan 2022 ( Download)
- AutoGluon + Nvidia Rapids-Advancing the State of the Art in AutoML,Now 10x Faster with NVIDIA RAPIDS ( Download)
- 10行代码打败90%数据科学家？ ( Download)
- AutoML on AWS ② - AutoGluon 개요 ( Download)
- Forecasting Systems and Disruption with Transformers ( Download)
