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.
It begins by explaining the diff.
Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting.
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
