1. Time series analysis and its applications : with R examples /: with R examples. ([2017]) Authors: Shumway, Robert H; Stoffer, David S Record Type: Book Extent: 1 online resource (xiii, 562 pages), illustrations (some color) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Time-series prediction and applications : a machine intelligence approach /: a machine intelligence approach. (2017) Authors: Konar, Amit; Bhattacharya, Diptendu Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Displaying time series, spatial, and space time data with R. ([2014]) Authors: Perpiñán Lamigueiro, Óscar Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Advanced analysis and learning on temporal data : first ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised selected papers /: first ECML PKDD Workshop, AALTD 2015, Porto, Portugal, September 11, 2015, Revised selected papers. (2016) Editors: Douzal-Chouakria, Ahlame; Vilar, José A; Marteau, Pierre-François Other Names: AALTD (Workshop), 1st Record Type: Book Extent: 1 online resource (x, 173 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Displaying time series, spatial, and space-time data with R. (2018) Authors: Perpiñán Lamigueiro, Óscar Record Type: Book Extent: 1 online resource, illustrations (colour), maps (colour) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Hands-on time series analysis with Python : from basics to bleeding edge techniques /: from basics to bleeding edge techniques. (2020) Other Names: Vishwas, B. V; Patel, Ashish Record Type: Book Extent: 1 online resource (xvii, 407 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Modern time series forecasting with Python : master industry-ready time series forecasting using modern machine learning and deep learning /: master industry-ready time series forecasting using modern machine learning and deep learning. (2022) Authors: Joseph, Manu Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Machine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methods /: forecast, predict, and detect anomalies with state-of-the-art machine learning methods. (2021) Authors: Auffarth, Ben Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Deep learning in time series analysis. (2023) Authors: Gharehbaghi, Arash, 1972- Record Type: Book Extent: 1 online resource (196 pages), illustrations (black and white, and colour) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Universal time-series forecasting with mixture predictors. (2020) Other Names: Ryabko, Daniil Record Type: Book Extent: 1 online resource (85 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗