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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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Time Series Forecasting in Python [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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Applied Time Series Analysis and Forecasting with Python [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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Machine Learning for Time Series Forecasting with Python [Book]
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Applied Time Series Analysis: A Practical Guide to Modeling and Forecasting [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 with R, Second Edition [Book]
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Learn Before You Lose and Forecasting by Time Cycles [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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Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR [Book]
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Practical Time Series Analysis [Book]
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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks [Book]
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Time Series Analysis and Its Applications: With R Examples [Book]
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Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection [Book]
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Deep Learning with TensorFlow: Explore Neural Networks and Build Intelligent Systems with Python, 2nd Edition [Book]
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Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow [Book]
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The Analysis of Time Series: An Introduction with R [Book]
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python [Book]
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