Advanced Forecasting with Python: With State-Of-The-Art-Models Including Lstms, Facebooks Prophet, and Amazons Deepar Korstanje Joos
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 mode… Celý popis ↓
Porovnanie cien Advanced Forecasting with Python: With State-Of-The-Art-Models Including Lstms, Facebooks Prophet, and Amazons Deepar Korstanje Joos
Popis Advanced Forecasting with Python: With State-Of-The-Art-Models Including Lstms, Facebooks Prophet, and Amazons Deepar Korstanje Joos
Advanced Forecasting with Python: With State-Of-The-Art-Models Including Lstms, Facebooks Prophet, and Amazons Deepar Korstanje Joos
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.Rather than focus on a specific set of models, this book presents an exhaustive overview of all the techniques relevant to practitioners of forecasting. Next, it covers univariate and multivariate time series models followed by advanced machine learning and deep learning models. It begins by explaining the different categories of models that are relevant for forecasting in a high-level language.
understandability of models vs. It concludes with reflections on model selection such as benchmark scores vs. compute time, and automated retraining and updating of models.Each
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