1. A beginners guide to Python 3 programming. (2019) Authors: Hunt, John Record Type: Book Extent: 1 online resource (xxvii, 433 pages), illustrations (some color) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Advanced applied deep learning : convolutional neural networks and object detection /: convolutional neural networks and object detection. ([2019]) Authors: Michelucci, Umberto Record Type: Book Extent: 1 online resource, illustrations (some color) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Advanced deep learning with Python. (2019) Other Names: Vasilev, Ivan Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Advanced guide to Python 3 programming. (2019) Authors: Hunt, John Record Type: Book Extent: 1 online resource (xxvi, 497 pages), illustrations (some color) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Advanced Python programming : build high performance, concurrent, and multi-threaded apps with Python using proven design patterns /: build high performance, concurrent, and multi-threaded apps with Python using proven design patterns. (2019) Authors: Lanaro, Gabriele; Nguyễn, Quân; Kasampalis, Sakis Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Applied reinforcement learning with Python with OpenAI Gym, Tensorflow and Keras /: with OpenAI Gym, Tensorflow and Keras. ([2019]) Other Names: Beysolow, Taweh Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Applied supervised learning with Python : use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning /: use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning. (2019) Authors: Johnston, Benjamin; Mathur, Ishita Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Applied unsupervised learning with Python : discover hidden patterns and relationships in unstructured data with Python /: discover hidden patterns and relationships in unstructured data with Python. ([2019]) Authors: (Computer scientist), Johnston, Benjamin; Jones, Aaron; Kruger, Christopher Record Type: Book Extent: 1 online resource (483 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Asyncio Recipes : A Problem-Solution Approach /: A Problem-Solution Approach. (2019) Other Names: Tahrioui, Mohamed Mustapha Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Beginning anomaly detection using Python-based deep learning : with Keras and PyTorch /: with Keras and PyTorch. ([2019]) Authors: Alla, Sridhar; Adari, Suman Kalyan Record Type: Book Extent: 1 online resource, illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗