1. An introduction to R and Python for data analysis : a side-by-side approach /: a side-by-side approach. (2023) Authors: Brown, Taylor R Record Type: Book Extent: 1 online resource (249 pages), illustrations (black and white, and colour) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Applied geospatial data science with Python : take control of implementing, analyzing, and visualizing geospatial and spatial data with geopandas and more /: take control of implementing, analyzing, and visualizing geospatial and spatial data with geopandas and more. (2023) Authors: Jordan, David Silas Record Type: Book Extent: 1 online resource (308 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. BBC Micro:bit in practice : a hands-on guide for building creative real-life projects with MicroPython and BBC Micro:bit /: a hands-on guide for building creative real-life projects with MicroPython and BBC Micro:bit. (2023) Authors: Pajankar, Ashwin; (Robotics engineer), Sharma, Abhishek; Saini, Sandeep Record Type: Book Extent: 1 online resource (292 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Building data science applications with FastAPI : develop, manage, and deploy efficient machine learning applications with Python /: develop, manage, and deploy efficient machine learning applications with Python. (2023) Authors: Voron, François Record Type: Book Extent: 1 online resource (422 pages), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Causal Inference and Discovery in Python : Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More /: Unlock the Secrets of Modern Causal Machine Learning with Dowhy, EconML, Pytorch and More. ([2023]) Other Names: Molak, Aleksander; Jaokar, Ajit Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Data augmentation with Python : enhance accuracy in deep learning with practical data augmentation for image, text, audio & tabular data /: enhance accuracy in deep learning with practical data augmentation for image, text, audio & tabular data. (2023) Authors: Haba, Duc Record Type: Book Extent: 1 online resource (307 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Data ingestion with Python cookbook : a practical guide helping you ingest, monitor, and identify errors in the data ingestion process /: a practical guide helping you ingest, monitor, and identify errors in the data ingestion process. (2023) Authors: Esppenchutz, Glaucia Record Type: Book Extent: 1 online resource (368 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Debugging machine learning models with Python : develop high-performance, low-bias, and explainable machine learning and deep learning models /: develop high-performance, low-bias, and explainable machine learning and deep learning models. (2023) Authors: Madani, Ali Other Names: MacKinnon, Stephen writer of foreword. Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Deep learning and scientific computing with R torch. (2023) Authors: Keydana, Sigrid Record Type: Book Extent: 1 online resource (404 pages), illustrations (black and white) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Exploratory data analysis with Python cookbook : over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data /: over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data. (2023) Authors: Oluleye, Ayodele Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗