K ganesh kumar (86 résultats)

Etat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

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Etat : New. Brand New, Softcover edition. This item may ship from the US or our Overseas warehouse depending on your location and stock availability.

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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Etat : Good. No Jacket. 2020.Hardcover.Good condition.Self-stated first edition.237 pages.Ships from Japan.Usually ships in 1-2 working days.

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : As New. Unread book in perfect condition.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New.

Paperback / softback. Etat : New. New copy - Usually dispatched within 4 working days.

Paperback. Etat : Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.

Paperback. Etat : 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.…

Etat : New. In English.

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

Etat : 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.…

Etat : Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Etat : 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.…

Paperback. Etat : Brand New. 450 pages. 7.87x10.24x1.97 inches. In Stock.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

Taschenbuch. Etat : 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. …

Etat : New.