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Sprache: Englisch
Verlag: H N H International Limited, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
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Sprache: Englisch
Verlag: H N H International Limited, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
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Sprache: Englisch
Verlag: H N H International Limited, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
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Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
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Paperback. Zustand: New. Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less "hands on" works can be pursued.With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come.
Sprache: Englisch
Verlag: T&F,Routledge,, 2026
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Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
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In den WarenkorbPaperback. Zustand: New. Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less "hands on" works can be pursued.With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come.
Zustand: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
Sprache: Englisch
Verlag: Taylor & Francis Ltd, London, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
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In den WarenkorbPaperback. Zustand: new. Paperback. Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less hands on works can be pursued.With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come. The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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In den WarenkorbPaperback. Zustand: Brand New. 560 pages. 10.00x7.00x10.00 inches. In Stock.
Zustand: New. Daniel J. Denis, Ph.D., is Professor of Quantitative Psychology at the University of Montana, U.S.A, where he has taught applied statistics courses since 2004. He is author of Applied Univariate, Bivariate, and Multivariate Statistics and.
Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
Anbieter: Rarewaves USA United, OSWEGO, IL, USA
Paperback. Zustand: New. Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less "hands on" works can be pursued.With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come.
Anbieter: GreatBookPrices, Columbia, MD, USA
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Sprache: Englisch
Verlag: Taylor and Francis Ltd, GB, 2025
ISBN 10: 1032454288 ISBN 13: 9781032454283
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
EUR 97,00
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In den WarenkorbPaperback. Zustand: New. Multivariate Statistics and Machine Learning is a hands-on textbook providing an in-depth guide to multivariate statistics and select machine learning topics using R and Python software.The book offers a theoretical orientation to the concepts required to introduce or review statistical and machine learning topics, and in addition to teaching the techniques, instructs readers on how to perform, implement, and interpret code and analyses in R and Python in multivariate, data science, and machine learning domains. For readers wishing for additional theory, numerous references throughout the textbook are provided where deeper and less "hands on" works can be pursued.With its unique breadth of topics covering a wide range of modern quantitative techniques, user-friendliness, and quality of expository writing, Multivariate Statistics and Machine Learning will serve as a key and unifying introductory textbook for students in the social, natural, statistical, and computational sciences for years to come.
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