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🧵: TimeGPT Launch Recordings Now Live! 📽️🎉

We're thrilled to share that our TimeGPT launch event recordings are now live on our brand-new YouTube channel!

You can find the event playlist here:

Continue 🧵 [...]youtube.com/playlist?list=… 2/9 Featured Sessions

🔹 Rob Ferguson, Head of AI at Microsoft for Startups @msft4startups, dives deep into the ubiquity of time series applications and how Nixtla is making waves. Watch here:

🎉 We are thrilled to announce the release of the latest version of mlforecast a #Python library for Scalable #machinelearning 🤖 for #timeseries #forecasting

🚀 This version comes with exciting new features that are sure to make forecasting even more efficient and accurate

🧵 🔮 Conformal Prediction: We've added the ability to generate probabilistic forecasts using conformal prediction. You can choose the levels of your intervals and the number of conformity scores to use.

🎉 We are very excited to release the new features of NeuralForecast! 🥳🚀

With this release time series forecasting with neural models is even more accessible and powerful. Here are some of the highlights

🧵

#timeseries #python #deeplearning #forecasting 📈 New Models:
- Temporal Convolution Network
- AutoNBEATSx
- AutoTFT (Transformers)

Today we are glad to announce these exciting features! 🎉

* Improved StatsForecast class
* Selection of best-performing models
* New documentation
* Plotting functionalities

Stay tuned for an exciting polemic comparison tomorrow!

#reinventforecasting StatsForecast class:

With the new StatsForecast class, you can fit many models for many time series in less than 15 lines of code

You can include @dask_dev, @raydistributed, and #spark by changing just the backend parameter