"Here is the story behind one of the most remarkable Internet successes of our time. Based on scrupulous research and extraordinary access to Google, the book takes you inside the creation and growth of a company whose name is a favorite brand and a standard verb recognized around the world. Its stock is worth more than General Motors’ and Ford’s combined, its staff eats for free in a dining room that used to be run by the Grateful Dead’s former chef, and its employees traverse the firm’s colorful Silicon Valley campus on scooters and inline skates…

Stock Vector - Curled Corner

Stock Vector - Colorful Wave

JMX begins by presenting the JMX specification and its architecture. The book quickly moves through the specification, offering examples of JMX integration with J2EE applications. The final section of the book presents JMX management and administration practices for a variety of J2EE platforms and scenarios.

Stock Vector - Decorative Element 4

There have been many biographies of Stalin, but the court that surrounded him is untravelled ground. Simon Sebag Montefiore, acclaimed biographer of Catherine the Great's lover, prime minister and general, Potemkin, has unearthed the vast underpinning that sustained Stalin…

Stock Vector - Grunge Banners

A neural network refers to interconnecting artificial neurons that mimic the properties of biological neurons to perform sophisticated, intelligent tasks. This authoritative reference offers a comprehensive understanding of the underpinnings and practical applications of artificial neural networks and their use in the retrieval of geophysical parameters. Professionals find expert guidance on the development and evaluation of neural network algorithms that process data from a new generation of hyperspectral sensors. Engineers discover how to use neural networks to approximate remote sensing inverse functions with emphasis on model selection, preprocessing, initialization, training, and performance evaluation.