Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.

Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition] [Book]

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Time Series Forecasting Using Deep Learning: Combining Pytorch, RNN, TCN, and Deep Neural Network Models to Provide Production-ready Prediction Solutions [Book]

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Machine Learning for Time-Series with Python: Forecast, Predict, and Detect Anomalies with State-Of-the-art Machine Learning Methods [Book]

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Introduction to Time Series and Forecasting [Book]

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Modern Time Series Forecasting with Python: Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning [Book]

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Hands-on Time Series Analysis with R: Perform Time Series Analysis and Forecasting Using R [Book]

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Practical Time Series Forecasting with R: A Hands-on Guide [Book]

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Machine Learning for Time Series Forecasting with Python [Book]

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Complete Maya Programming: An Extensive Guide to MEL and C++ API [Book]

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Deep Learning for Time Series Cookbook: Use PyTorch and Python Recipes for Forecasting, Classification, and Anomaly Detection [Book]

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Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] [Book]

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Automated Time Series Forecasting Made Easy with R: An Intuitive Step by Step Introduction for Data Science [Book]

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Practical Time Series Analysis: Prediction with Statistics and Machine Learning [Book]

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Data Forecasting and Segmentation Using Microsoft Excel: Perform Data Grouping, Linear Predictions, and Time Series Machine Learning Statistics Without Using Code [Book]

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Codeless Time Series Analysis with KNIME: A Practical Guide to Implementing Forecasting Models for Time Series Analysis Applications [Book]

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Time Series Analysis with Python Cookbook: Practical Recipes for Exploratory Data Analysis, Data Preparation, Forecasting, and Model Evaluation [Book]

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