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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 [Book]
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Practical Time Series Forecasting with R: A Hands-On Guide [Book]
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Practical Time Series Forecasting: A Hands-On Guide [3rd Edition] [Book]
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Theory and Applications of Time Series Analysis and Forecasting: Selected Contributions from ITISE 2021 [Book]
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Practical Time Series Analysis: Prediction with Statistics and Machine Learning [Book]
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3D Point Cloud Analysis: Traditional, Deep Learning, and Explainable Machine Learning Methods [Book]
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Time Series Analysis and Its Applications: With R Examples [Book]
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The Analysis of Time Series: An Introduction [Book]
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Fuzzy Collaborative Forecasting and Clustering: Methodology, System Architecture, and Applications [Book]
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The Analysis of Time Series: An Introduction, Sixth Edition [Book]
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State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem [Book]
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Deep Learning Neural Networks: Design and Case Studies [Book]
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Variational Methods for Machine Learning with Applications to Deep Networks [Book]
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Time Series Analysis: Regression Techniques [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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Deep Learning Architectures: A Mathematical Approach [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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Deep Learning with Python: The Ultimate Beginners Guide for Deep Learning with Python [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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