Название: Advanced Forecasting with PythonАвтор: Joos Korstanje
Издательство: Apress
Год: 2021
Формат: True (PDF, ePUB)
Страниц: 294
Размер: 13,2 Mb
Язык: English
Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model.