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VitalSource
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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Time Series Forecasting in Python [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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Time Series [Book]
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Deep Learning with TensorFlow and Keras: Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models [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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Digital Time Series Analysis [Book]
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Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python [Book]
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Data and Error Analysis [Book]
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Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow [Book]
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Pro Deep Learning with TensorFlow: A Mathematical Approach to Advanced Artificial Intelligence in Python [Book]
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Deep Learning with Python: The Ultimate Beginners Guide for Deep Learning with Python [Book]
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Deep Learning with Python: Comprehensive Guide of Tips and Tricks Using Deep Learning with Python Theories [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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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: Comprehensive Beginners Guide to Learn and Understand the Realms of Deep Learning with Python [Book]
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Deep Text: Using Text Analytics to Conquer Information Overload, Get Real Value from Social Media, and Add Big(ger) Text to Big Data [Book]
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Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras [Book]
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Long-Range Forecasting: From Crystal Ball to Computer [Book]
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Modern Structured Analysis [Book]
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