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Universal Time-Series Forecasting with Mixture Predictors - Ryabko - Soft cover
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Machine Learning for Time-Series with Python: Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
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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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Time Series Forecasting Using Deep Learning [Book]
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Forecasting Time Series Data with Prophet: Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool [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 Analysis and Forecasting
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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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Introduction to Time Series and Forecasting [Book]
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Time Series Analysis: Forecasting and Control [Book]
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Forecasting, Time Series, and Regression
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Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition] [Book]
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Time Series Analysis: Forecastin
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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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Time Series Modelling and Forecasting
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Modern Time Series Forecasting with Python: Industry-ready Machine Learning and Deep Learning Time Series Analysis with Pytorch and Pandas
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Time Series for Data Scientists: Data Management, Description, Modeling and Forecasting [Book]
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