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

• Author(s): Simon J. D. Prince • Publisher: MIT Press • Publisher Imprint: MIT Press • Subject: Computer Science and Information Technology • BISAC: Data Science - Machine LearningAn authoritative, accessible, and up-to-date treatment of deep le...

• Author(s): Marc G. Bellemare • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Data Science - Machine LearningThe first comprehensive guide to distributional reinforcement learning, providing a new mathematical formalism for thinki...

• 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): Aleksandr Aravkin | Anna Choromanska | Li Deng • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Artificial Intelligence - GeneralAdvances in training models with log-linear structures, with topics including variable sel...

• 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): Kevin P. Murphy • Publisher: MIT Press • Publisher Imprint: MIT Press • Subject: Computer Science and Information Technology • BISAC: Data Science - Machine LearningAn advanced book for researchers and graduate students working in ma...

• Author(s): Daniel P. Friedman • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Data Science - Machine LearningA highly accessible, step-by-step introduction to deep learning, written in an engaging, question-and-answer style. The ...

• 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): 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): Kevin P. Murphy • Publisher: MIT Press • Publisher Imprint: MIT Press • Subject: Computer Science and Information Technology • BISAC: Data Science - Machine LearningA detailed and up-to-date introduction to machine learning, presente...

• 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): Mayank Kejriwal • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Artificial Intelligence - GeneralA rigorous and comprehensive textbook covering the major approaches to knowledge graphs, an active and interdisciplinary ...

• 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): Bin Yu • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Data Science - Data AnalyticsUsing real-world data case studies, this innovative and accessible textbook introduces an actionable framework for conducting trustwor...

• 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): Moritz Hardt • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Data Science - Machine LearningAn introduction to the intellectual foundations and practical utility of the recent work on fairness and machine learning. Fai...

• Author(s): Christian Kastner • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Software Development & Engineering - ToolsA practical and innovative textbook detailing how to build real-world software products with machine learn...

• 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): Martin Huber • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Business MathematicsA comprehensive and cutting-edge introduction to quantitative methods of causal analysis, including new trends in machine learning. Reaso...

• Author(s): Thomas H. Cormen • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Programming - AlgorithmsA comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, mac...

• 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): Elad Hazan • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: OptimizationNew edition of a graduate-level textbook on that focuses on online convex optimization, a machine learning framework that views optimization as a p...

• Author(s): Aude Billard • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: RoboticsMethods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises. This book p...

• Author(s): Catherine D'Ignazio • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Feminism & Feminist TheoryCutting edge strategies for thinking about data science and data ethics through an intersectional feminist lens. "Withou...

• 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): Dessislava A. Pachamanova • Publisher: MIT Press • Publisher Imprint: MIT Text Books • BISAC: Finance - Financial Risk ManagementA comprehensive guide to simulation, optimization, and machine learning for finance, covering theoretica...

• Author(s): Wendy Hui Kyong Chun • Publisher: MIT Press • Publisher Imprint: MIT Press • BISAC: Data Science - Data AnalyticsHow big data and machine learning encode discrimination and create agitated clusters of comforting rage. In Discriminati...