K ganesh kumar (88 Ergebnisse)

Sprache: Englisch
Verlag: CBS Publishers & Distributors Pvt Ltd, India, 2020
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Sprache: Englisch
Verlag: CBS Publishers & Distributors Pvt Ltd, India, 2020
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Sprache: Englisch
Verlag: CBS Publishers & Distributors Pvt Ltd, India, 2020
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Sprache: Englisch
Verlag: CBS Publishers & Distributors Pvt Ltd, India, 2020
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Sprache: Englisch
Verlag: CBS Publishers & Distributors Pvt Ltd, India, 2020
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Sprache: Englisch
Verlag: CBS Publishers & Distributors Pvt Ltd, India, 2020
- Hardcover
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Hardcover. Zustand: Good. No Jacket. 2020.Hardcover.Good condition.Self-stated first edition.237 pages.Ships from Japan.Usually ships in 1-2 working days.

Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K Sampath (EDT)
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Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K Sampath (EDT)
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Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K Sampath (EDT)
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Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K Sampath (EDT)
- Softcover
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Paperback. Zustand: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

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Paperback. Zustand: New. A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in the generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems.Prediction and Analysis for Knowledge Representation and Machine Learning demonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the book's website.Features: Examines the representational adequacy of needed knowledge representation Manipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original information Improves inferential and acquisition efficiency by applying automatic methods to acquire new knowledge Covers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technology Describes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarterThis book serves as a reference book for researchers and practitioners who are working in the field of information technology and computer science in knowledge representation and machine learning for both basic and advanced concepts. Nowadays, it has become essential to develop adaptive, robust, scalable, and reliable applications and also design solutions for day-to-day problems. The edited book will be helpful for industry people and will also help beginners as well as high-level users for learning the latest things, which include both basic and advanced concepts.…

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Paperback. Zustand: Brand New. 232 pages. 9.18x6.12x9.21 inches. In Stock.

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Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The book deals with the basic concepts of fluid dynamics and heat, mass transfer behavior of Newtonian and non-Newtonian fluid past an extending surfaces. The considered subject is perceived by the researchers and post-doctoral researchers. In this book we introduces computational numerical tool for solving highly non-linear differential equations models that arise in flow of fluid, heat and mass transfer of both Newtonian/non-Newtonian fluid problem. Self similar solutions are obtained using the fourth-fifth order Runge-Kutta-Fehlberg method. The considered work has great importance in the ¿eld of science and technology. The considered problem is quite useful in guided missiles, rain erosion, ¿uidization, atmospheric fallout, paint and aerosol spraying,lunar ash ¿ows,and cooling of nuclear reactor.…

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Paperback. Zustand: New. A number of approaches are being defined for statistics and machine learning. These approaches are used for the identification of the process of the system and the models created from the system's perceived data, assisting scientists in the generation or refinement of current models. Machine learning is being studied extensively in science, particularly in bioinformatics, economics, social sciences, ecology, and climate science, but learning from data individually needs to be researched more for complex scenarios. Advanced knowledge representation approaches that can capture structural and process properties are necessary to provide meaningful knowledge to machine learning algorithms. It has a significant impact on comprehending difficult scientific problems.Prediction and Analysis for Knowledge Representation and Machine Learning demonstrates various knowledge representation and machine learning methodologies and architectures that will be active in the research field. The approaches are reviewed with real-life examples from a wide range of research topics. An understanding of a number of techniques and algorithms that are implemented in knowledge representation in machine learning is available through the book's website.Features: Examines the representational adequacy of needed knowledge representation Manipulates inferential adequacy for knowledge representation in order to produce new knowledge derived from the original information Improves inferential and acquisition efficiency by applying automatic methods to acquire new knowledge Covers the major challenges, concerns, and breakthroughs in knowledge representation and machine learning using the most up-to-date technology Describes the ideas of knowledge representation and related technologies, as well as their applications, in order to help humankind become better and smarterThis book serves as a reference book for researchers and practitioners who are working in the field of information technology and computer science in knowledge representation and machine learning for both basic and advanced concepts. Nowadays, it has become essential to develop adaptive, robust, scalable, and reliable applications and also design solutions for day-to-day problems. The edited book will be helpful for industry people and will also help beginners as well as high-level users for learning the latest things, which include both basic and advanced concepts.…

Prediction and Analysis for Knowledge Representation and Machine Learning
Avadhesh Kumar, Shrddha Sagar, T Ganesh Kumar, K Sampath Kumar
- Hardcover
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Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
- Hardcover
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Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
- Hardcover
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Taschenbuch. Zustand: Neu. Agricultural Transformation in Nepal | Trends, Prospects, and Policy Options | Ganesh Thapa (u. a.) | Taschenbuch | xliii | Englisch | 2021 | Springer | EAN 9789813296503 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
- Hardcover
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses some key strategic questions related to agriculture in the context of major contemporary developments and emerging challenges in Nepal such as the changing role of agriculture with economic growth, structural transformation in reducing poverty, improving nutritional outcomes, and addressing the challenges of climate change. The book also suggests policy measures to improve the delivery of critical inputs and services and ensure the participation of marginal and smallholders in high-value chains. Further, it discusses how the new federal system and governance structure will affect the delivery of agricultural technology and services. The book is divided into five parts. Part I discusses macro-issues in the agriculture sector, while Part II focuses on agricultural productivity growth and its main drivers. The third part explores diversification in the agricultural and non-agricultural sectors by farmers and other rural people for livelihoodimprovement, while the fourth part deals with agricultural trade and marketing issues, highlighting policy implications and recommendations in the areas of immediate focus and further research. Lastly, Part V addresses institutions and governance issues, which are vital for agricultural development. In the final chapter, the editors summarize and synthesize the book's main findings and develop a policy agenda for addressing the many challenges faced by the agriculture sector in Nepal, so as to make it more productive, competitive, sustainable, and inclusive.The book offers a rich source of analytical information on various aspects of agricultural development in Nepal and will be of immense value to policymakers, development partners, civil society, students, and those interested in the economic and agricultural development of not only Nepal, but also other developing countries. …

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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book addresses some key strategic questions related to agriculture in the context of major contemporary developments and emerging challenges in Nepal such as the changing role of agriculture with economic growth, structural transformation in reducing poverty, improving nutritional outcomes, and addressing the challenges of climate change. The book also suggests policy measures to improve the delivery of critical inputs and services and ensure the participation of marginal and smallholders in high-value chains. Further, it discusses how the new federal system and governance structure will affect the delivery of agricultural technology and services. The book is divided into five parts. Part I discusses macro-issues in the agriculture sector, while Part II focuses on agricultural productivity growth and its main drivers. The third part explores diversification in the agricultural and non-agricultural sectors by farmers and other rural people for livelihoodimprovement, while the fourth part deals with agricultural trade and marketing issues, highlighting policy implications and recommendations in the areas of immediate focus and further research. Lastly, Part V addresses institutions and governance issues, which are vital for agricultural development. In the final chapter, the editors summarize and synthesize the book's main findings and develop a policy agenda for addressing the many challenges faced by the agriculture sector in Nepal, so as to make it more productive, competitive, sustainable, and inclusive.The book offers a rich source of analytical information on various aspects of agricultural development in Nepal and will be of immense value to policymakers, development partners, civil society, students, and those interested in the economic and agricultural development of not only Nepal, but also other developing countries. …

Prediction and Analysis for Knowledge Representation and Machine Learning
Kumar, Avadhesh (EDT); Sagar, Shrddha (EDT); Kumar, T. Ganesh (EDT); Kumar, K. Sampath (EDT)
- Hardcover
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Zustand: New. 1st edition NO-PA16APR2015-KAP.

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