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

• Author(s): Gokhan Bakir | Thomas Hofmann | Bernhard Scholkopf • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Data Science - Neural NetworksState-of-the-art algorithms and theory in a novel domain of machine learning, prediction ...

• Author(s): John D. Kelleher • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Machine TheoryThe second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory a...

• Author(s): Gregory Piatetsky-Shapiro | William Frawley • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: System Administration - Storage & RetrievalKnowledge Discovery in Databases brings together current research on the exciti...

• 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): Ethem Alpaydin • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Artificial Intelligence - GeneralMIT presents a concise primer on machine learning--computer programs that learn from data and the basis of applications li...

• 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): Joaquin Quinonero-Candela | Masashi Sugiyama | Anton Schwaighofer • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Machine TheoryAn overview of recent efforts in the machine learning community to deal with dataset and c...

• Author(s): Peter D. Grunwald • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Mathematical & Statistical SoftwareA comprehensive introduction and reference guide to the minimum description length (MDL) Principle that is access...

• Author(s): Tamir Hazan | George Papandreou | Daniel Tarlow • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Artificial Intelligence - GeneralA description of perturbation-based methods developed in machine learning to augment nove...

• Author(s): Richard S. Sutton • Publisher: MIT Press • Publisher Imprint: MIT Press • Subject: Computer Science and Information Technology • BISAC: Artificial Intelligence - GeneralThe significantly expanded and updated new edition of a widely u...

• Author(s): Ralf Herbrich • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Artificial Intelligence - GeneralAn overview of the theory and application of kernel classification methods. Linear classifiers in kernel spaces have emerge...

• Author(s): Jaime Carbonell • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Intelligence (AI) & SemanticsHaving played a central role at the inception of artificial intelligence research, machine learning has recently reemerge...

• Author(s): Lise Getoor | Ben Taskar • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Machine TheoryAdvanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilist...

• Author(s): Albert Bifet | Ricard Gavalda | Geoffrey Holmes • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Artificial Intelligence - GeneralA hands-on approach to tasks and techniques in data stream mining and real-time analytics...

• Author(s): Suvrit Sra | Sebastian Nowozin | Stephen J. Wright • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: GeneralAn up-to-date account of the interplay between optimization and machine learning, accessible to students and res...

• Author(s): Marvin Minsky | Seymour A. Papert | Leon Bottou • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Neural NetworksThe first systematic study of parallelism in computation by two pioneers in the field.Reissue of the 1988 E...

• Author(s): John D. Kelleher • Publisher: Mit Press • Publisher Imprint: Mit Press • BISAC: Data Science - GeneralA concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses,...

• Author(s): Jonas Peters • Publisher: Mit Press • Publisher Imprint: Mit Press • BISAC: Data Science - Neural NetworksA concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The ...

• Author(s): Kevin P. Murphy • Publisher: Mit Press • Publisher Imprint: Mit Press • BISAC: Machine TheoryA comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.Today's Web-enabled del...

• Author(s): Ian Goodfellow | Yoshua Bengio | Aaron Courville • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Artificial Intelligence - GeneralAn introduction to a broad range of topics in deep learning, covering mathematical and c...

• Author(s): Michael J. Kearns • Publisher: Mit Press • Publisher Imprint: Mit Press • BISAC: Intelligence (AI) & SemanticsEmphasizing issues of computational efficiency, Michael Kearns and Umesh Vazirani introduce a number of central topics ...

• Author(s): Sean Gerrish • Publisher: Mit Press • Publisher Imprint: Mit Press • BISAC: Artificial Intelligence - GeneralEverything you want to know about the breakthroughs in AI technology, machine learning, and deep learning--as seen in self-d...