1. Advanced Machine Learning with R : Tackle data analytics and machine learning challenges and build complex applications with R 3.5 /: Tackle data analytics and machine learning challenges and build complex applications with R 3.5. (2019) Authors: Lesmeister, Cory; Dr, Chinnamgari, Sunil Kumar Record Type: Book Extent: 1 online resource (664 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Applied Deep Learning with Keras : Solve complex real-life problems with the simplicity of Keras /: Solve complex real-life problems with the simplicity of Keras. (2019) Authors: Bhagwat, Ritesh; Abdolahnejad, Mahla; Moocarme, Matthew Record Type: Book Extent: 1 online resource (412 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. 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) ↗
4. 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) ↗
5. Artificial Intelligence and Machine Learning Fundamentals : Develop real-world applications powered by the latest AI advances /: Develop real-world applications powered by the latest AI advances. (2018) Authors: Nagy, Zsolt Record Type: Book Extent: 1 online resource (330 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /: develop machine intelligence from scratch using real artificial intelligence use cases. (2018) Authors: Rothman, Denis Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. 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) ↗
8. Building Machine Learning Systems with Python : Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition /: Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow, 3rd Edition. (2018) Authors: Pedro Coelho, Luis; Richert, Wilhelm; Brucher, Matthieu Record Type: Book Extent: 1 online resource (406 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Caffe2 Quick Start Guide : Modular and scalable deep learning made easy /: Modular and scalable deep learning made easy. (2019) Authors: Nanjappa, Ashwin Record Type: Book Extent: 1 online resource (136 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Codeless Deep Learning with KNIME : Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform /: Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform. (2020) Authors: Melcher, Kathrin; Silipo, Rosaria Record Type: Book Extent: 1 online resource (384 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗