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Shop for Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
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Machine Learning for Time Series Forecasting with Python [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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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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Hands-on Time Series Analysis with R: Perform Time Series Analysis and Forecasting Using R [Book]
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Practical Time Series Analysis: Prediction with Statistics and Machine Learning [Book]
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Advances in Time Series Forecasting [Book]
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AI-Driven Time Series Forecasting: Complexity-Conscious Prediction and Decision-Making [Book]
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Applied Time Series Analysis and Forecasting with Python [Book]
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Computational Intelligence in Time Series Forecasting: Theory and Engineering Applications [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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Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] [Book]
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SAS for Forecasting Time Series, Third Edition [Book]
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Deep Learning with Python, Second Edition [Book]
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Time Series Analysis on AWS: Learn How to Build Forecasting Models and Detect Anomalies in Your Time Series Data [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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Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR [Book]
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Time Series Algorithms Recipes: Implement Machine Learning and Deep Learning Techniques with Python [Book]
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