
Cross-device Federated Recommendation Privacy-Preserving Personalization
Xiangjie Kong, Lingyun Wang, Mengmeng Wang, Guojiang Shen
Published 2025
157 pages
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2025.

Xiangjie Kong, Lingyun Wang, Mengmeng Wang, Guojiang Shen
Published 2025
157 pages

Mikael Wiberg
Published 2025
264 pages

SYLVANITY. AI BOARD
Published 2025
92 pages

Saeid Eslamian, Preethi Nanjundan, Jossy P. George, Faezeh Eslamian
Published 2025
250 pages

Narasimha Rao Vajjhala, Edlira Martiri, Fisnik Dalipi, Bian Yang
Published 2025
216 pages

Jyotismita Chaki, Marcin Wozniak
Published 2025
232 pages

Mahja Sarschar
Published 2025
116 pages

Yuxing Yan
Published 2025
428 pages

Stefan Sprenger
Published 2025
275 pages

Abdul Karim Bangura
Published 2025
309 pages

David Asboth
Published 2025
472 pages

RAVI. RAJPUT
Published 2025
168 pages

Octavio Loyola-González, Saed Alrabaee, Zheng Xu, Nurul Hidayah Ab Rahman
Published 2025
608 pages

Octavio Loyola-González, Zheng Xu, Nurul Hidayah Ab Rahman, Saed Saleh Al Rabaee
Published 2025
589 pages

Anatoly Zelenin
Published 2025
368 pages

Philipp Brandt
Published 2025
368 pages

Shiguo Lian, Zhaoxiang Liu
Published 2025
220 pages

Chi-Chun Chou, David Wang
Published 2025
200 pages

Gary Moss
Published 2025
168 pages

Sairam Sundaresan
Published 2025
256 pages

THOMPSON. CARTER
Published 2025
296 pages

Gary Sutton
Published 2025
448 pages

Brian Wagner
Published 2025
312 pages

Daniel Gutierrez
Published 2025
400 pages