11. Applied Data Science with Python and Jupyter : Use powerful industry-standard tools to unlock new, actionable insights from your data /: Use powerful industry-standard tools to unlock new, actionable insights from your data. (2018) Authors: Galea, Alex Record Type: Book Extent: 1 online resource (192 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
12. Applied Supervised Learning with R : Use machine learning libraries of R to build models that solve business problems and predict future trends /: Use machine learning libraries of R to build models that solve business problems and predict future trends. (2019) Authors: Ramasubramanian, Karthik; Moolayil, Jojo Record Type: Book Extent: 1 online resource (502 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
13. Applied Unsupervised Learning with R : Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA /: Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA. (2019) Authors: Malik, Alok; Tuckfield, Bradford Record Type: Book Extent: 1 online resource (320 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
14. Arc42 by Example : Software architecture documentation in practice /: Software architecture documentation in practice. (2019) Authors: Dr, Starke, Gernot; Simons, Michael; Zörner, Stefan; D. Müller, Ralf Record Type: Book Extent: 1 online resource (236 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
15. Artificial Intelligence with Python Cookbook : Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6 /: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6. (2020) Authors: Auffarth, Ben Record Type: Book Extent: 1 online resource (468 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
16. Azure Data Factory Cookbook : Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service /: Build and manage ETL and ELT pipelines with Microsoft Azure's serverless data integration service. (2020) Authors: Anoshin, Dmitry; Foshin, Dmitry; Storchak, Roman; Ireton, Xenia Record Type: Book Extent: 1 online resource (382 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
17. Beginning data analysis with Python and Jupyter book : use powerful industry-standard tools to unlock new, actionable insight from your existing data /: use powerful industry-standard tools to unlock new, actionable insight from your existing data. (2018) Authors: Galea, Alex Record Type: Book Extent: 1 online resource (194 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
18. Big Data Analysis with Python : Combine Spark and Python to unlock the powers of parallel computing and machine learning /: Combine Spark and Python to unlock the powers of parallel computing and machine learning. (2019) Authors: Marin, Ivan; Shukla, Ankit; VK, Sarang Record Type: Book Extent: 1 online resource (276 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
19. Big data analytics with Hadoop 3 : build highly effective analytics solutions to gain valuable insight into your big data /: build highly effective analytics solutions to gain valuable insight into your big data. (2018) Authors: Alla, Sridhar Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
20. Big Data Processing with Apache Spark : Efficiently tackle large datasets and big data analysis with Spark and Python /: Efficiently tackle large datasets and big data analysis with Spark and Python. (2018) Authors: Franco Galeano, Manuel Ignacio Record Type: Book Extent: 1 online resource (142 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗