Machine Learning: Foundations, Methodologies, and Applications

Alexander Jung 및 다른 저자
시리즈 • 도서 14권 • 컴퓨터 및 인터넷
Artificial Intelligence with Python Artificial Intelligence with Python
Artificial Intelligence with Python
Teik Toe Teoh & Zheng Rong
Topic Modeling Topic Modeling
Topic Modeling
Yanghui Rao & Qing Li
Derivative-Free Optimization Derivative-Free Optimization
Derivative-Free Optimization
Yang Yu, Hong Qian & Yi-Qi Hu
Embodied Multi-Agent Systems Embodied Multi-Agent Systems
Embodied Multi-Agent Systems
Huaping Liu, Xinzhu Liu, Kangyao Huang & Di Guo
Cross-device Federated Recommendation Cross-device Federated Recommendation
Cross-device Federated Recommendation
Xiangjie Kong, Lingyun Wang, Mengmeng Wang & Guojiang Shen
Unsupervised Domain Adaptation Unsupervised Domain Adaptation
Unsupervised Domain Adaptation
Jingjing Li, Lei Zhu & Zhekai Du
Robust Machine Learning Robust Machine Learning
Robust Machine Learning
Rachid Guerraoui, Nirupam Gupta & Rafael Pinot
Online Machine Learning Online Machine Learning
Online Machine Learning
Eva Bartz & Thomas Bartz-Beielstein
Artificial Intelligence in Business Management Artificial Intelligence in Business Management
Artificial Intelligence in Business Management
Teik Toe Teoh & Yu Jin Goh
Introduction to Transfer Learning Introduction to Transfer Learning
Introduction to Transfer Learning
Jindong Wang & Yiqiang Chen