Search results for “[Subject: data-science-machine-learning]”

• Author(s): Sebastian Nowozin • Publisher: The MIT Press • Publisher Imprint: The MIT Press • BISAC: Machine TheoryAn overview of recent work in the field of structured prediction, the building of predictive machine learning models for interrela...

• Author(s): Pierre Baldi • Publisher: The MIT Press • Publisher Imprint: Bradford Books • BISAC: Data Science - Neural NetworksA guide to machine learning approaches and their application to the analysis of biological data.An unprecedented wealt...

• Author(s): Jeremy Kepner • Publisher: The MIT Press • Publisher Imprint: The MIT Press • BISAC: Data Science - GeneralThe first book to present the common mathematical foundations of big data analysis across a range of applications and technolo...

• Author(s): Kai Hwang • Publisher: The MIT Press • Publisher Imprint: The MIT Press • BISAC: Distributed Systems - Cloud ComputingThe first textbook to teach students how to build data analytic solutions on large data sets using cloud-based tech...

• Author(s): Francis Bach • Publisher: The MIT Press • Publisher Imprint: The MIT Press • BISAC: Computer ScienceA comprehensive and cutting-edge introduction to the foundations and modern applications of learning theory.Research has exploded in ...

• Author(s): Stefano V. Albrecht • Publisher: The MIT Press • Publisher Imprint: The MIT Press • BISAC: Data Science - Machine LearningThe first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solu...

• Author(s): James-A. Goulet • Publisher: The MIT Press • Publisher Imprint: The MIT Press • BISAC: Computer EngineeringAn introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and profession...