
Discrete Stochastic Processes: Tools for Machine Learning and Data Science
Discrete Stochastic Processes: Tools for Machine Learning and Data Science (Springer Undergraduate Mathematics Series) A...

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 (Author) ...

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 (Auth...

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: Chapman and Hall/CRC Edition: 1st P...

Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artifici...

Introduction to Financial Mathematics (Advances in Applied Mathematics) Author: Kevin J. Hastings (Author) Publisher: Ch...