gluon-ts - GluonTS - Probabilistic Time Series Modeling in Python https://t.co/gx4gdeB00R
— Python Trending (@pythontrending) June 4, 2019
gluon-ts - GluonTS - Probabilistic Time Series Modeling in Python https://t.co/gx4gdeB00R
— Python Trending (@pythontrending) June 4, 2019
You just have to take the time to present the information (and uncertainty) honestly and carefully.
— Micah Cohen (@micahcohen) May 24, 2019
fwiw: here's how all @FiveThirtyEight's forecasts have done historically:https://t.co/sNtV1yRslD pic.twitter.com/4b4SfM4vkW
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
— Thomas Lahore (@evolvingstuff) May 13, 2019
"DeepGLO outperforms state-of-the-art approaches on various datasets; for example, we see more than 30% improvement in WAPE over other methods"https://t.co/EBhZZnw9MQ pic.twitter.com/QcDUvX4MOf
stumpy - STUMPY is a powerful and scalable Python library that can be used for a variety of time series data mining tasks https://t.co/sqDwbMkwoQ
— Python Trending (@pythontrending) May 12, 2019
While we have a whole bunch of general purpose libraries for machine learning/deep learning in Python, there's only a handful for stats and time series analyses. Stumpy looks like a nice library for the large-scale time series analysis niche :) https://t.co/lVQrF0t2zp
— Sebastian Raschka (@rasbt) May 12, 2019