Foundations of Deep Reinforcement Learning: Theory and Practice in Python
- Length: 416 pages
- Publication Date: 2019-12-12
Hands-On Machine Learning from Scratch: Develop a Deeper Understanding of Machine Learning Models by Implementing Them from Scratch in Python
- Length: 141 pages
- Publication Date: 2019-06-27
Convolutional Neural Networks with Swift for Tensorflow: Image Recognition and Dataset Categorization
- Length: 266 pages
- Publication Date: 2021-02-15
Data Science – Analytics and Applications: Proceedings of the 3rd International Data Science Conference – iDSC2020
- Length: 135 pages
- Publication Date: 2021-02-05
Advanced Data Mining and Applications: 16th International Conference, ADMA 2020, Foshan, China, November 12–14, 2020, Proceedings
- Length: 685 pages
- Publication Date: 2021-02-18
Lean and Agile Software Development: 5th International Conference, LASD 2021, Virtual Event, January 23, 2021, Proceedings
- Length: 213 pages
- Publication Date: 2021-03-16
Trends in Deep Learning Methodologies: Algorithms, Applications, and Systems
- Length: 306 pages
- Publication Date: 2020-11-30
Codeless Deep Learning with KNIME: Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
- Length: 408 pages
- Publication Date: 2020-11-27
Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges
- Length: 659 pages
- Publication Date: 2021-01-15