AI for Time Series Analysis and Forecasting (with TensorFlow and Keras)

In this course you learn about: Understanding Artificial Intelligence / AI Overview · A brief history of AI · Types of AI systems · Training machine learning models · Applying models for prediction Time series processing and forecasting elements · Traditional Time Series forecasting with ARIMA models · Defining Autocorrelation · Understanding the Dickey-Fuller Test Forecasting with TensorFlow and Keras · Google democratization of AI with TensorFlow · Types of neural network (Perceptron, CNN, LSTM) and their use · Forecasting with TensorFlow · Using RNN and LSTM in time series prediction. · Validation and metrics of Time Series Prediction models