(4) Time series. sequences and predictions

You need to understand how to solve time series and forecasting problems in TensorFlow.You need to knowhow to:

• Train. tune and use time series. sequence and prediction models
• Prepare data for time series learning.
• Understand Mean Average Error (MAE) and how it can be used to evaluate accuracy of sequence models.
• Use RNNs and CNNs for time series. sequence and forecasting models.
• Identify when to use trailing versus centred windows.
• Use TensorFlow for forecasting.
• Prepare features and labels.
• Identify and compensate for sequence bias.
• Adjust the learning rate dynamically in time series. sequence and prediction models.