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Shop for Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
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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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Practical Time Series Forecasting with R: A Hands-On Guide [Third Edition] [Book]
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Practical Time Series Analysis: Prediction with Statistics and Machine 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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Advances in Time Series Forecasting [Book]
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Deep Learning with R, Second Edition [Book]
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Time Series Analysis by Example: Hands on Approach Using R [Book]
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Machine Learning for Time Series Forecasting with Python [Book]
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Introduction to Multiple Time Series Analysis [Book]
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Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective [Book]
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Deep Learning Architectures: A Mathematical Approach [Book]
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Time Series Analysis and Its Applications: With R Examples [Book]
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Visual and Text Sentiment Analysis Through Hierarchical Deep Learning Networks [Book]
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The Analysis of Time Series: An Introduction with R [Book]
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Deep Learning with JavaScript: Neural Networks in TensorFlow.js [Book]
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Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python [Book]
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3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods [Book]
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Enhancing Deep Learning with Bayesian Inference: Create More Powerful, Robust Deep Learning Systems with Bayesian Deep Learning in Python [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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Applied Deep Learning with Keras: Solve Complex Real-Life Problems with the Simplicity of Keras [Book]
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