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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 [eBook]
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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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Mastering Time Series Analysis and Forecasting with Python [Book]
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Machine Learning for Time Series Forecasting with Python [eBook]
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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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Time Series with Python: How to Implement Time Series Analysis and Forecasting Using Python [Book]
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Practical Time Series Analysis [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 TensorFlow: Explore Neural Networks and Build Intelligent Systems with Python, 2nd Edition [Book]
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Deep Learning with JavaScript: Neural Networks in TensorFlow.js [Book]
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Hands-On Python Deep Learning for the Web: Integrating Neural Network Architectures to Build Smart Web Apps with Flask, Django, and TensorFlow [Book]
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Visual and Text Sentiment Analysis Through Hierarchical Deep Learning Networks [Book]
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Deep Learning Projects Using TensorFlow 2: Neural Network Development with Python and Keras [Book]
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Hands-On Deep Learning for IoT: Train Neural Network Models to Develop Intelligent IoT Applications [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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Learning PyTorch 2.0: Experiment deep learning from basics to complex models using every potential capability of Pythonic PyTorch [eBook]
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Deep Learning with Keras: Implement Neural Networks with Keras on Theano and TensorFlow [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 R for Beginners: Design Neural Network Models in R 3.5 Using TensorFlow, Keras, and MXNet [eBook]
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