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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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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 with Python: Forecast, Predict, and Detect Anomalies with State-Of-the-art Machine Learning Methods [Book]
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Time Series Forecasting in Python [Book]
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Deep Learning in Time Series Analysis [Book]
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Time Series Analysis and Forecasting Using Python & R [Book]
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Deep Learning with R, Second Edition [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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Advanced Forecasting with Python: With State-of-the-Art-Models Including LSTMs, Facebook’s Prophet, and Amazon’s DeepAR [Book]
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An Introductory Study on Time Series Modeling and Forecasting [Book]
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Pro Deep Learning with TensorFlow 2.0: A Mathematical Approach to Advanced Artificial Intelligence in Python [Book]
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Deep Learning Architectures: A Mathematical Approach [Book]
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Problems of Time Series Analysis [Book]
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Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0 [Book]
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Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow [Book]
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Applied Neural Networks with TensorFlow 2: API Oriented Deep Learning with Python [Book]
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Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras [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 Pytorch: Demystify Neural Networks with Pytorch [Book]
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Deep Learning - Computer Vision for Beginners Using PyTorch
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