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Paperback. Zustand: New. Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, you'll understand how to apply Automated Machine Learning to your data right away.Learn how companies in different industries are benefiting from Automated Machine LearningGet started with Automated Machine Learning using AzureExplore aspects such as algorithm selection, auto featurization, and hyperparameter tuningUnderstand how data analysts, BI professionals, and developers can use Automated Machine Learning in their familiar tools and experiencesLearn how to get started using Automated Machine Learning for use cases including classification and regression.
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In den WarenkorbPaperback. Zustand: Brand New. 225 pages. 9.00x7.00x0.50 inches. In Stock.
Sprache: Englisch
Verlag: Westdeutscher Verlag GmbH, 2010
ISBN 10: 3834814423 ISBN 13: 9783834814425
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Zustand: New. pp. 240.
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In den WarenkorbPaperback. Zustand: New. Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you'll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models. Deepak Mukunthu, Parashar Shah, and Wee Hyong Tok provide a mix of technical depth, hands-on examples, and case studies that show how customers are solving real-world problems with this technology.Building machine learning models is an iterative and time-consuming process. Even those who know how to create these models may be limited in how much they can explore. Once you complete this book, you'll understand how to apply Automated Machine Learning to your data right away.Learn how companies in different industries are benefiting from Automated Machine LearningGet started with Automated Machine Learning using AzureExplore aspects such as algorithm selection, auto featurization, and hyperparameter tuningUnderstand how data analysts, BI professionals, and developers can use Automated Machine Learning in their familiar tools and experiencesLearn how to get started using Automated Machine Learning for use cases including classification and regression.
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In den WarenkorbKartoniert / Broschiert. Zustand: New. Develop smart applications without spending days and weeks building machine-learning models. With this practical book, you ll learn how to apply Automated Machine Learning, a process that uses machine learning to help people build machine learning models.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is aimed at presenting different methods and perspectives in the theory of Quantum Groups, bridging between the algebraic, representation theoretic, analytic, and differential-geometric approaches. It also covers recent developments in Noncommutative Geometry, which have close relations to quantization and quantum group symmetries. The volume collects surveys by experts which originate from an acitvity at the Max-Planck-Institute for Mathematics in Bonn. Contributions byTomasz Brzezinski, Branimir Cacic, Rita Fioresi, Rita Fioresi and Fabio Gavarini, Debashish Goswami, Christian Kassel, Avijit Mukherjee, Alfons Van Daele, Robert Wisbauer, Alessandro ZampiniThe volume is aimed as introducing techniques and results on Quantum Groups and Noncommutative Geometry, in a form that is accessible to other researchers in related areas as well as to advanced graduate students.The topics covered are of interest to both mathematicians and theoretical physicists.Prof. Dr. Matilde Marcolli, Department of Mathematics, California Institute of Technology, Pasadena, California, USA.Dr. Deepak Parashar, Cambridge Cancer Trials Centre and MRC Biostatistics Unit, University of Cambridge, United Kingdom.
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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is aimed at presenting different methods and perspectives in the theory of Quantum Groups, bridging between the algebraic, representation theoretic, analytic, and differential-geometric approaches. It also covers recent developments in Noncommutative Geometry, which have close relations to quantization and quantum group symmetries. The volume collects surveys by experts which originate from an acitvity at the Max-Planck-Institute for Mathematics in Bonn. Contributions byTomasz Brzezinski, Branimir Cacic, Rita Fioresi, Rita Fioresi and Fabio Gavarini, Debashish Goswami, Christian Kassel, Avijit Mukherjee, Alfons Van Daele, Robert Wisbauer, Alessandro ZampiniThe volume is aimed as introducing techniques and results on Quantum Groups and Noncommutative Geometry, in a form that is accessible to other researchers in related areas as well as to advanced graduate students.The topics covered are of interest to both mathematicians and theoretical physicists.Prof. Dr. Matilde Marcolli, Department of Mathematics, California Institute of Technology, Pasadena, California, USA.Dr. Deepak Parashar, Cambridge Cancer Trials Centre and MRC Biostatistics Unit, University of Cambridge, United Kingdom.
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Taschenbuch. Zustand: Neu. Quantum Groups and Noncommutative Spaces | Perspectives on Quantum Geometry | Matilde Marcolli (u. a.) | Taschenbuch | Aspects of Mathematics | viii | Englisch | 2014 | Vieweg & Teubner | EAN 9783834826893 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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