Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

3,88 valoración promedio
( 17 valoraciones por Goodreads )
 
9781430259893: Efficient Learning Machines: Theories, Concepts, and Applications for Engineers and System Designers

Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques.

Mariette Awad and Rahul Khanna’s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions.

Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms.

Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning.

"Sinopsis" puede pertenecer a otra edición de este libro.

About the Author:

Rahul Khanna is a platform architect at Intel Corporation involved in development of energy-efficient algorithms. Over the past 17 years he has worked on server system software technologies, including platform automation, power/thermal optimization techniques, reliability, optimization, and predictive methodologies. He has authored numerous technical papers and book chapters in the areas related to energy optimization, platform wireless interconnects, sensor networks, interconnect reliability, predictive modeling, motion estimation, and security. He holds 27 patents. He is the co-inventor of the Intel IBIST methodology for High-Speed interconnect testing. His research interests include machine learning-based power/thermal optimization algorithms, narrow-channel high-speed wireless interconnects, and information retrieval in dense sensor networks. Rahul is member of IEEE and the recipient of three Intel Achievement Awards for his contributions in areas related to advancements of platform technologies. He is the author of A Vision for Platform Autonomy: Robust Frameworks for Systems.

"Sobre este título" puede pertenecer a otra edición de este libro.

Comprar nuevo Ver libro

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America

Destinos, gastos y plazos de envío

Añadir al carrito

Los mejores resultados en AbeBooks

1.

Mariette Awad, Rahul Khanna
Editorial: Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany (2015)
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Paperback Primera edición Cantidad: 1
Librería
The Book Depository
(London, Reino Unido)
Valoración
[?]

Descripción Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany, 2015. Paperback. Estado de conservación: New. 1st ed.. Language: English . Brand New Book. Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions.Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms.Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning. Nº de ref. de la librería AAZ9781430259893

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 23,71
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

2.

Rahul Khanna, Mariette Awad
Editorial: Apress 2015-04-13 (2015)
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Cantidad: 4
Librería
Chiron Media
(Wallingford, Reino Unido)
Valoración
[?]

Descripción Apress 2015-04-13, 2015. Estado de conservación: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Nº de ref. de la librería NU-GRD-05200552

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 21,93
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 3,39
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

3.

Mariette Awad, Rahul Khanna
Editorial: Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany (2015)
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Paperback Primera edición Cantidad: 1
Librería
The Book Depository US
(London, Reino Unido)
Valoración
[?]

Descripción Springer-Verlag Berlin and Heidelberg GmbH Co. KG, Germany, 2015. Paperback. Estado de conservación: New. 1st ed.. Language: English . Brand New Book. Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, classifications, genetic algorithms, neural networking, kernel methods, and biologically-inspired techniques. Mariette Awad and Rahul Khanna s synthetic approach weaves together the theoretical exposition, design principles, and practical applications of efficient machine learning. Their experiential emphasis, expressed in their close analysis of sample algorithms throughout the book, aims to equip engineers, students of engineering, and system designers to design and create new and more efficient machine learning systems. Readers of Efficient Learning Machines will learn how to recognize and analyze the problems that machine learning technology can solve for them, how to implement and deploy standard solutions to sample problems, and how to design new systems and solutions.Advances in computing performance, storage, memory, unstructured information retrieval, and cloud computing have coevolved with a new generation of machine learning paradigms and big data analytics, which the authors present in the conceptual context of their traditional precursors. Awad and Khanna explore current developments in the deep learning techniques of deep neural networks, hierarchical temporal memory, and cortical algorithms.Nature suggests sophisticated learning techniques that deploy simple rules to generate highly intelligent and organized behaviors with adaptive, evolutionary, and distributed properties. The authors examine the most popular biologically-inspired algorithms, together with a sample application to distributed datacenter management. They also discuss machine learning techniques for addressing problems of multi-objective optimization in which solutions in real-world systems are constrained and evaluated based on how well they perform with respect to multiple objectives in aggregate. Two chapters on support vector machines and their extensions focus on recent improvements to the classification and regression techniques at the core of machine learning. Nº de ref. de la librería AAZ9781430259893

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 26,04
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

4.

Mariette Awad, Rahul Khanna
Editorial: Apress 2015-04-30, [Berkley?] (2015)
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos paperback Cantidad: > 20
Librería
Blackwell's
(Oxford, OX, Reino Unido)
Valoración
[?]

Descripción Apress 2015-04-30, [Berkley?], 2015. paperback. Estado de conservación: New. Nº de ref. de la librería 9781430259893

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 22,16
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 6,80
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

5.

Awad, Mariette, Khanna, Rahul
Editorial: Apress (2015)
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Tapa blanda Primera edición Cantidad: 3
Librería
Valoración
[?]

Descripción Apress, 2015. Estado de conservación: New. Num Pages: 268 pages, 88 black & white illustrations, biography. BIC Classification: UY. Category: (G) General (US: Trade). Dimension: 183 x 258 x 18. Weight in Grams: 532. . 2015. 1st Edition. Paperback. . . . . . Nº de ref. de la librería V9781430259893

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 29,13
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
De Irlanda a Estados Unidos de America
Destinos, gastos y plazos de envío

6.

Rahul Khanna
Editorial: Apress
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Paperback Cantidad: 5
Librería
THE SAINT BOOKSTORE
(Southport, Reino Unido)
Valoración
[?]

Descripción Apress. Paperback. Estado de conservación: New. New copy - Usually dispatched within 2 working days. Nº de ref. de la librería B9781430259893

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 21,46
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 7,86
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

7.

Mariette Awad; Rahul Khanna
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Cantidad: 3
Librería
Speedy Hen LLC
(Sunrise, FL, Estados Unidos de America)
Valoración
[?]

Descripción Estado de conservación: New. Bookseller Inventory # ST1430259892. Nº de ref. de la librería ST1430259892

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 30,03
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

8.

Khanna, Rahul
Editorial: APress (2014)
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Cantidad: 4
Librería
Books2Anywhere
(Fairford, GLOS, Reino Unido)
Valoración
[?]

Descripción APress, 2014. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería GB-9781430259893

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 20,54
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 10,20
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

9.

Awad, Mariette, Khanna, Rahul
Editorial: Apress
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Tapa blanda Cantidad: 3
Librería
Kennys Bookstore
(Olney, MD, Estados Unidos de America)
Valoración
[?]

Descripción Apress. Estado de conservación: New. Num Pages: 268 pages, 88 black & white illustrations, biography. BIC Classification: UY. Category: (G) General (US: Trade). Dimension: 183 x 258 x 18. Weight in Grams: 532. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9781430259893

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 31,05
Convertir moneda

Añadir al carrito

Gastos de envío: GRATIS
A Estados Unidos de America
Destinos, gastos y plazos de envío

10.

Mariette Awad, Rahul Khanna
ISBN 10: 1430259892 ISBN 13: 9781430259893
Nuevos Paperback Cantidad: 4
Librería
Ria Christie Collections
(Uxbridge, Reino Unido)
Valoración
[?]

Descripción Paperback. Estado de conservación: New. Not Signed; Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of ma. book. Nº de ref. de la librería ria9781430259893_rkm

Más información sobre esta librería | Hacer una pregunta a la librería

Comprar nuevo
EUR 27,96
Convertir moneda

Añadir al carrito

Gastos de envío: EUR 4,38
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío

Existen otras copia(s) de este libro

Ver todos los resultados de su búsqueda