
An Introduction to Statistical Data Science: Theory and Models
An Introduction to Statistical Data Science: Theory and Models Author: Giorgio Picci (Author) Publisher finelybook 出版社:...
An Introduction to Statistical Data Science: Theory and Models Author: Giorgio Picci (Author) Publisher finelybook 出版社:...
Discrete Stochastic Processes: Tools for Machine Learning and Data Science (Springer Undergraduate Mathematics Series) A...
Design and Evaluation of Ad Hoc Routing Protocol (ISTE Consignment) Author: Martine Wahl (Author), Patrick Sondi (Author...
Computational Thinking: First Algorithms, Then Code (Undergraduate Topics in Computer Science) Author: Paolo Ferragina (...
Network Architect’s Guide to 5G, A Author: Syed Farrukh Hassan (Author), Alexander Orel (Author), Kashif Islam (Au...
Enhancing Deep Learning with Bayesian Inference: Create more powerful, robust deep learning systems with Bayesian deep l...
Programming Ruby 3.3: The Pragmatic Programmers’ Guide (Pragmatic Programmers; Facets of Ruby) Author: Noel Rappin...
Optimization Algorithms: AI techniques for design, planning, and control problems Author: Alaa Khamis (Author) Publisher...
Mathematical Foundations of Computer Science Author: Ashwin Lall (Author) Publisher finelybook 出版社: Chapman and Hall/CR...
Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artifici...