Learn IT - Books tags sampling

Beginning Linux Programming (Linux Programming Series)

Wrox Press, 1999

Provided you have some previous basic exposure to C and Unix, Beginning Linux Programming delivers an excellent overview of the world of Linux development with an appealing range of essential tools and APIs.

The standout feature of Beginning Linux Programming is its wide-ranging coverage of important topics in basic Unix...

The Shallows: What the Internet Is Doing to Our Brains

W W Norton, 2010

“Is Google making us stupid?” When Nicholas Carr posed that question, in a celebrated Atlantic Monthly cover story, he tapped into a well of anxiety about how the Internet is changing us. He also crystallized one of the most important debates of our time: As we enjoy the Net’s bounties, are we sacrificing our...

Practical Statistics for Data Scientists: 50 Essential Concepts

O'Reilly, 2017

Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their...

Integrated Frequency Synthesizers for Wireless Systems

Cambridge University Press, 2007

The increasingly demanding performance requirements of communications systems, as well as problems posed by the continued scaling of silicon technology, present numerous challenges for the design of frequency synthesizers in modern transceivers. This book contains everything you need to know for the efficient design of frequency synthesizers for...

Apache Hive Essentials: Essential techniques to help you process, and get unique insights from, big data, 2nd Edition

Packt Publishing, 2018

This book takes you on a fantastic journey to discover the attributes of big data using Apache Hive.

Key Features

Grasp the skills needed to write efficient Hive queries to analyze the Big Data

Discover how Hive can coexist and work with other tools within the Hadoop...

Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing

Springer, 2010

This textbook introduces sparse and redundant representations with a focus on applications in signal and image processing. The theoretical and numerical foundations are tackled before the applications are discussed. Mathematical modeling for signal sources is discussed along with how to use the proper model for tasks such as denoising,...

Digital Image Processing: PIKS Scientific Inside

John Wiley & Sons, 2007

A newly updated and revised edition of the classic introduction to digital image processing

The Fourth Edition of Digital Image Processing provides a complete introduction to the field and includes new information that updates the state of the art. The text offers coverage of new topics and...

Light Field Sampling (Synthesis Lectures on Image, Video, and Multimedia Processing)

Morgan and Claypool Publishers, 2006

Light field is one of the most representative image-based rendering techniques that generate novel virtual views from images instead of 3D models. The light field capture and rendering process can be considered as a procedure of sampling the light rays in the space and interpolating those in novel views. As a result, light field can be studied as a...

Beginning SQL Server 2005 Administration

Wrox Press, 2006

For the first time, SQL Server 2005 provides features that can support large-scale enterprise databases. With this powerful new release, you may find yourself being called upon to perform duties that are no longer strictly "administrative," duties that have become much more complicated and difficult. With that in mind, a team of...

Feature Extraction and Image Processing

Newnes, 2002

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.

*Ideal module text for courses in artificial...

Analysis of Correlated Data with SAS and R

CRC Press, 2007

Previously known as Statistical Methods for Health Sciences, this bestselling resource is one of the first books to discuss the methodologies used for the analysis of clustered and correlated data. While the fundamental objectives of its predecessors remain the same, Analysis of Correlated Data with SAS and R, Third Edition incorporates...

Heuristic and Optimization for Knowledge Discovery

Idea Group Publishing, 2002

With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this arena, although little is known about heuristic...

Result Page: 16 15 14 13 12 11 10 9 8 7