Jonathan Bechtel
Employers on the program
- 2023Data Science and Machine Learning Research Group1 talk
- 2023DSML Research1 talk
Appearances by year
- PyData
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Nov 1, 2023 | PyData NYC 2023 | PyData | speaker | Forecasting With Classical and Machine Learning Methods Using SKTime as Data Science and Machine Learning Research Group Traditional time series models such as ARIMA and exponential smoothing have typically been used to forecast time series data, but the use of machine learning…Show lessTraditional time series models such as ARIMA and exponential smoothing have typically been used to forecast time series data, but the use of machine learning methods have been able to set new benchmarks for accuracy in high profile forecasting competitions such as M4 and M5. | Video |
| Apr 26, 2023 | PyData Seattle 2023 | PyData | tutorial | skbase - a workbench for creating scikit-learn like parametric objects and libraries as DSML Research | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Florian Jacta | 2 | — | 2023 |
| Gil Forsyth | 2 | — | 2023 |
| Krishi Sharma | 2 | — | 2023 |
| Lucas Durand | 2 | — | 2023 |
| Peter Vidos | 2 | — | 2023 |
| Phillip Cloud | 2 | — | 2023 |
| Tracy Teal | 2 | — | 2023 |
| Franz Kiraly | 1 | 1 | 2023 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.