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Shop for Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
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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 Forecasting with Python [Book]
(1)
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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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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 on AWS: Learn How to Build Forecasting Models and Detect Anomalies in Your Time Series Data [Book]
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MATLAB for Machine Learning - Second Edition: Unlock the Power of Deep Learning for Swift and Enhanced Results [Book]
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Forecasting Time Series Data with Facebook Prophet: Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool [Book]
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Deep Learning and XAI Techniques for Anomaly Detection: Integrating Theory and Practice of Explainable Deep Learning Anomaly Detection [Book]
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Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow [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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Interpretable Machine Learning with Python - Second Edition: Build Explainable, Fair, and Robust High-performance Models with Hands-on, Real-world Examples [Book]
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Practical Time Series Analysis [Book]
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Deep Learning with PyTorch Lightning: Swiftly Build High-performance Artificial Intelligence (AI) Models Using Python [Book]
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