Cała literatura kursowa, której potrzebujesz do studiów z Data & AI. Znajdziesz tu szeroki wybór e-booków z Data & AI. Nie możesz znaleźć tego, czego szukasz? Szukaj po ISBN, tytule lub autorze.
4825 Książek
New Directions in Behavioral Biometrics
Khalid Saeed
586 kr
Adversarial Reasoning
Alexander Kott, William M. McEneaney
1773 kr
Algorithmic Foundation of Multi-Scale Spatial Representation
Zhilin Li
636 kr
Learning with Uncertainty
Junhai Zhai, Xizhao Wang
Introduction to NFL Analytics with R
Bradley J. Congelio
721 kr
Data Fusion and Data Mining for Power System Monitoring
Arturo Román Messina
745 kr
Disruptive Trends in Computer Aided Diagnosis
Rik Das, Siddhartha Bhattacharyya, Sudarshan Nandy
574 kr
Distributed Data Fusion for Network-Centric Operations
Chee-Yee Chong, David Hall, James Llinas, Martin Liggins II
1100 kr
Next Generation Geospatial Information
Arie Croituru, Peggy Agouris
684 kr
Geospatial Data Science Techniques and Applications
Bobak Karimi, Hassan A. Karimi
Data Mining in Biomedical Imaging, Signaling, and Systems
Rajendra Acharya U, Sumeet Dua
611 kr
Computational Biology and Bioinformatics
Ka-Chun Wong
624 kr
Machine Learning for Microbiome Statistics
Jun Sun, Yinglin Xia
Customer and Business Analytics
Daniel S. Putler
1015 kr
Introduction to Fuzzy Systems
Guanrong Chen, Trung Tat Pham
1712 kr
Advances in Machine Learning and Data Mining for Astronomy
Ashok N. Srivastava, Jeffrey D. Scargle, Kamal M. Ali, Michael J. Way
Human Behavior Learning and Transfer
Ka Keung C. Lee, Yangsheng Xu
Time Series Modeling of Neuroscience Data
Tohru Ozaki
2078 kr
Data Mining for Bioinformatics
Pradeep Chowriappa, Sumeet Dua
647 kr
Service-Oriented Distributed Knowledge Discovery
Domenico Talia, Paolo Trunfio
806 kr
Concepts and Design Innovations addressing the Digital Transformation of Data Spaces and Marketplaces
Achille Zappa, Alessandro Amicone, Edgar Fries, Iván Martínez, Justina Bieliauskaite, Márcio Mateus, Marina Cugurra, Martín Serrano, Pedro Maló, Waheed Ashraf
1 kr
Systems and Implemented Technologies for Data-Driven Innovation, addressing Data Spaces and Marketplaces Semantic Interoperability Needs
Technical Innovation, solving the Data Spaces and Marketplaces Interoperability Problems for the Global Data-Driven Economy
Sensitivity Analysis for Business, Technology, and Policymaking
Julian Scott Yeomans, Mariia Kozlova