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Geared for software architects and engineers, AI for Time Series Analysis and Forecasting is a three-day, hands-on course that addresses the need for smart software for time series analysis and forecasting.

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Unlimited Duration

Last Updated

April 6, 2021

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20

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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

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