1. Deep learning by example : a hands-on guide to implementing advanced machine learning algorithms and neural networks /: a hands-on guide to implementing advanced machine learning algorithms and neural networks. (2018) Authors: Menshawy, Ahmed Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. Deep learning quick reference : useful hacks for training and optimizing deep neural networks with FensorFlow and Keras /: useful hacks for training and optimizing deep neural networks with FensorFlow and Keras. (2018) Authors: Bernico, Michael Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more /: apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more. (2018) Authors: Lapan, Maxim Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Empirical approach to machine learning. (2018) Authors: Angelov, Plamen P; Gu, Xiaowei Record Type: Book Extent: 1 online resource (423 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Feature engineering made easy : identify unique features from your dataset in order to build powerful machine learning systems /: identify unique features from your dataset in order to build powerful machine learning systems. (2018) Authors: Ozdemir, Sinan; Susarla, Divya Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. Generative adversarial networks cookbook : over 100 recipes to build generative models using Python, TensorFlow, and Keras /: over 100 recipes to build generative models using Python, TensorFlow, and Keras. ([2018]) Authors: Kalin, Josh Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Hands-on automated machine learning : a beginner's guide to building automated machine learning systems using Automl and Python /: a beginner's guide to building automated machine learning systems using Automl and Python. (2018) Authors: Das, Sibanjan; Cakmak, Umit Mert Record Type: Book Extent: 1 online resource View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Hands-on machine learning for algorithmic trading : design and implement investment strategies based on smart algorithms that learn from data using Python /: design and implement investment strategies based on smart algorithms that learn from data using Python. (2018) Authors: Jansen, Stefan Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Hands-on machine learning on Google cloud platform : implementing smart and efficient analytics using Cloud ML Engine /: implementing smart and efficient analytics using Cloud ML Engine. (2018) Authors: Ciaburro, Giuseppe; Ayyadevara, V. Kishore; Perrier, Alexis Record Type: Book Extent: 1 online resource (1 volume), illustrations View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. Hands-on machine learning with Azure : build powerful models with cognitive machine learning and artificial intelligence /: build powerful models with cognitive machine learning and artificial intelligence. (2018) Authors: Abraham, Thomas K; Shah, Parashar; Stirrup, Jen; Lehman, Lauri; Basak, Anindita Record Type: Book Extent: 1 online resource (340 pages) View Content: Available online (eLD content is only available in our Reading Rooms) ↗