WaveNet is a powerful new predictive technique that uses multiple Deep Learning (DL) strategies from Computer Vision (CV) and Audio Signal Processing models and applies them to longitudinal (time-series) data. It was created by researchers at London-based artificial intelligence firm DeepMind, and currently powers Google Assistant voices.
We'll explore WaveNet and how it works, but first dive into data prep, current high-performance models (as a baseline, Facebook Prophet), and then compare results!
run this full line in bash, as one line:
conda create -n wavenet python=3.7 pandas numpy seaborn matplotlib jupyter keras
then install Facebook Prophet:
source activate wavenet; conda install -c conda-forge fbprophet