Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis (repost
Codeless Time Series Analysis with KNIME:
A practical guide to implementing forecasting models for time series analysis applications
English | 2022 | ISBN: 1803232064 | 392 Pages | PDF EPUB (True) | 43 MB
A practical guide to implementing forecasting models for time series analysis applications
English | 2022 | ISBN: 1803232064 | 392 Pages | PDF EPUB (True) | 43 MB
This learning journey is organized in a crescendo of difficulty, starting from the easiest yet effective techniques applied to weather forecasting, then introducing ARIMA and its variations, moving on to machine learning for audio signal classification, training deep learning architectures to predict glucose levels and electrical energy demand, and ending with an approach to anomaly detection in IoT. There's no time series analysis book without a solution for stock price predictions and you'll find this use case at the end of the book, together with a few more demand prediction use cases that rely on the integration of KNIME Analytics Platform and other external tools.