378 pp., hardcover, new, THIS IS THE 2019 PRINTING. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

N� de ref. del art�culo ZB1316480

Contactar al vendedor

Denunciar este art�culo

Detalles bibliogr�ficos

T�tulo: Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning (Integrated Series in Information Systems, 36)
Editor: Springer
Fecha de publicaci�n: 2019
Idioma: Ingl�s
ISBN 10: 148997640X
ISBN 13: 9781489976406
Encuadernaci�n: Encuadernaci�n de tapa dura
Estado: New

Acerca de

Sinopsis

This book presents machine learning models and algorithms to address big data classification problems. Existing machine learning techniques like the decision tree (a hierarchical approach), random forest (an ensemble hierarchical approach), and deep learning (a layered approach) are highly suitable for the system that can handle such problems. This book helps readers, especially students and newcomers to the field of big data and machine learning, to gain a quick understanding of the techniques and technologies; therefore, the theory, examples, and programs (Matlab and R) presented in this book have been simplified, hardcoded, repeated, or spaced for improvements. They provide vehicles to test and understand the complicated concepts of various topics in the field. It is expected that the readers adopt these programs to experiment with the examples, and then modify or write their own programs toward advancing their knowledge for solving more complex and challenging problems.

The presentation format of this book focuses on simplicity, readability, and dependability so that both undergraduate and graduate students as well as new researchers, developers, and practitioners in this field can easily trust and grasp the concepts, and learn them effectively. It has been written to reduce the mathematical complexity and help the vast majority of readers to understand the topics and get interested in the field. This book consists of four parts, with the total of 14 chapters. The first part mainly focuses on the topics that are needed to help analyze and understand data and big data. The second part covers the topics that can explain the systems required for processing big data. The third part presents the topics required to understand and select machine learning techniques to classify big data. Finally, the fourth part concentrates on the topics that explain the scaling-up machine learning, an important solution for modern big data problems.

Acerca del autor

Shan Suthaharan is a Professor of Computer Science at the University of North Carolina at Greensboro (UNCG), North Carolina, USA. He also serves as the Director of Undergraduate Studies at the Department of Computer Science at UNCG. He has more than twenty-five years of university teaching and administrative experience, and has taught both undergraduate and graduate courses. His aspiration is to educate and train students so that they can prosper in the computer field by understanding current real-world and complex problems, and develop efficient techniques and technologies. His current teaching interests include big data analytics and machine learning, cryptography and network security, and computer networking and analysis. He earned his doctorate in Computer Science from Monash University, Australia. Since then, he has been actively working on disseminating his knowledge and experience through teaching, advising, seminars, research, and publications. Dr. Suthaharan enjoys investigating real-world, complex problems, and developing and implementing algorithms to solve those problems using modern technologies. The main theme of his current research is the signature discovery and event detection for a secure and reliable environment. The ultimate goal of his research is to build a secure and reliable environment using modern and emerging technologies. His current research primarily focuses on the characterization and detection of environmental events, the exploration of machine learning techniques, and the development of advanced statistical and computational techniques to discover key signatures and detect emerging events from structured and unstructured big data. Dr. Suthaharan has authored or co-authored more than seventy-five research papers in the areas of computer science, and published them in international journals and referred conference proceedings. He also invented a key management and encryption technology, which has been patented in Australia, Japan, and Singapore. He also received visiting scholar awards from and served as a visiting researcher at the University of Sydney, Australia; the University of Melbourne, Australia; and the University of California, Berkeley, USA. He was a senior member of the Institute of Electrical and Electronics Engineers, and volunteered as an elected chair of the Central North Carolina Section twice. He is a member of Sigma Xi, the Scientific Research Society, and a Fellow of the Institution of Engineering and Technology.

"Sobre este t�tulo" puede pertenecer a otra edici�n de este libro.

Descripci�n de la librer�a

Zubal Books is the #1 buyer and seller of scholarly and rare books in America. Since 1961 we've handled thousands of private and technical libraries. Our family business knows books and we treat our clients with top-notch customer service. If you have any questions about our listings, please don't hesitate to contact us. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country

Ver la p�gina web de la librer�a

Informaci�n empresarial del vendedor

Zubal Books
2969 West 25th Street, Cleveland, OH, 44113, U.S.A.

Condiciones de venta y env�o

Condiciones de venta

Price are net to all
Visa/MC/Check/Money Order
Libraries Invoiced

We do accept checks, however
WE DO NOT HOLD OR RESERVE ANY ITEMS

All international postal rates are subject to change depending on weight
and size.

Derecho al desistimiento

Si es un consumidor, puede rescindir el contrato de acuerdo con lo siguiente. Por consumidor se entiende cualquier persona f�sica que act�e con fines ajenos a su actividad comercial, empresarial, oficio o profesi�n.

Informaci�n sobre el derecho de desistimiento

Derecho legal de desistimiento

Tiene derecho a rescindir este contrato en un plazo de 14 d�as sin dar ning�n motivo.

El periodo de desistimiento vencer� a los 14 d�as desde que usted, o un tercero que no sea el transportista e indicado por usted, adquiera la posesi�n f�sica del �ltimo bien o del �ltimo lote o pieza.

Para ejercer el derecho de desistimiento, complete de forma electr�nica y env�e una declaraci�n clara en nuestro sitio web, desde "Mis compras" en "Mi cuenta". Le enviaremos sin demora un acuse de recibo de dicho desistimiento a trav�s de un soporte duradero (por ejemplo, por correo electr�nico).

Para cumplir con el plazo de desistimiento, basta con que env�e su comunicaci�n relativa al ejercicio del derecho de desistimiento antes de que venza el periodo de desistimiento.

Efectos del desistimiento

Si rescinde este contrato, le reembolsaremos todos los pagos que hayamos recibido de usted, incluidos los gastos de env�o (excepto los gastos adicionales que surjan si elige un tipo de env�o que no sea el tipo de env�o est�ndar m�s econ�mico que ofrecemos).

Podemos hacer una deducci�n del reembolso por la p�rdida de valor de cualquier bien suministrado, si la p�rdida es el resultado de una manipulaci�n innecesaria por su parte.

Efectuaremos el reembolso sin demoras indebidas y, a m�s tardar, 14 d�as despu�s de que se nos informe de su decisi�n de rescindir este contrato.

Efectuaremos el reembolso utilizando el mismo medio de pago que utiliz� para la transacci�n inicial, a menos que haya acordado expresamente lo contrario; en cualquier caso, no incurrir� en ning�n cargo como resultado de dicho reembolso.

Podremos retener el reembolso hasta que hayamos recibido los bienes o hasta que nos haya presentado una prueba de que los ha devuelto, lo que ocurra primero.

Deber� devolver los bienes o entregarlos a Zubal-Books, Since 1961, Cleveland, Ohio, U.S.A., sin demoras indebidas y, en cualquier caso, en un plazo m�ximo de 14 d�as a partir del d�a en que nos comunique su desistimiento del presente contrato. El plazo se cumple si devuelve la mercanc�a antes de que venza el periodo de 14 d�as. Tendr� que asumir los gastos directos de devoluci�n de los bienes. Usted solo es responsable de la disminuci�n del valor de los bienes como resultado de una manipulaci�n distinta a la necesaria para establecer la naturaleza, las caracter�sticas y el funcionamiento de los bienes.

Excepciones al derecho de desistimiento

El derecho de desistimiento no se aplica a lo siguiente:

La entrega de peri�dicos, diarios o revistas, con la excepci�n de los contratos de suscripci�n; y
El suministro de contenido digital que no se proporcione en un soporte tangible (por ejemplo, en un CD o DVD) si, al hacer el pedido, acept� que pod�amos empezar a entregarlo y que no podr�a desistir una vez iniciada la entrega.

Condiciones de env�o

Orders usually ship within 2 business days. Shipping costs are based on books
weighing 2.2 LB, or 1 KG. If your book order is heavy or oversized, we may
contact
you to let you know extra shipping is required.

Buyer is responsible for any additional duties, taxes, or fees required by recipient's country

Tarifas de env�o en Estados Unidos de America

Tarifas de env�o en Estados Unidos de America
Cantidad del pedido	De 4 a 14 d�as h�biles	De 3 a 5 d�as h�biles
Primer art�culo	EUR 3.96	EUR 12.33

Los plazos de entrega los establecen los vendedores y var�an seg�n el transportista y la ubicaci�n. Los pedidos que pasan por la aduana pueden sufrir retrasos y los compradores son responsables de los aranceles o tarifas asociadas. Los vendedores pueden ponerse en contacto con usted en relaci�n con cargos adicionales para cubrir cualquier aumento en los costes de env�o de los art�culos.

Informaci�n detallada sobre el vendedor