Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Computational Statistics: An Introduction to R
Computational Statistics: An Introduction to R

Suitable for a compact course or self-study, Computational Statistics: An Introduction to R illustrates how to use the freely available R software package for data analysis, statistical programming, and graphics. Integrating R code and examples throughout, the text only requires basic knowledge of statistics and...

Operating System Concepts with Java
Operating System Concepts with Java
Operating systems are an essential part of any computer system. Similarly, a course on operating systems is an essential part of any computer-science education. This field is undergoing rapid change, as computers are now prevalent in virtually every application, from games for children through the most sophisticated planning...
Business Intelligence: Data Mining and Optimization for Decision Making
Business Intelligence: Data Mining and Optimization for Decision Making

Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners,...

The Linux Kernel Module Programming Guide
The Linux Kernel Module Programming Guide
Linux Kernel Module Programming Guide is for people who want to write kernel modules. It takes a hands-on approach starting with writing a small "hello, world" program, and quickly moves from there. Far from a boring text on programming, Linux Kernel Module Programming Guide has a lively style that entertains while it educates. An...
A Beginner's Guide to R (Use R!)
A Beginner's Guide to R (Use R!)

Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum.

...
The Pillars of Computation Theory: State, Encoding, Nondeterminism (Universitext)
The Pillars of Computation Theory: State, Encoding, Nondeterminism (Universitext)

The abstract branch of theoretical computer science known as Computation Theory typically appears in undergraduate academic curricula in a form that obscures both the mathematical concepts that are central to the various components of the theory and the relevance of the theory to the typical student. This regrettable situation is due largely...

Ethical Hacking and Countermeasures: Attack Phases (EC-Council Press)
Ethical Hacking and Countermeasures: Attack Phases (EC-Council Press)

The EC-Council | Press Ethical Hacking and Countermeasures Series is comprised of five books covering a broad base of topics in offensive network security, ethical hacking, and network defense and countermeasures. The content of this series is designed to immerse the reader into an interactive environment where they will be shown how to scan,...

CRC Handbook of Modern Telecommunications, Second Edition
CRC Handbook of Modern Telecommunications, Second Edition

Addressing the most dynamic areas of the ever-changing telecommunications landscape, this new edition of the bestselling CRC Handbook of Modern Telecommunications once again brings together the top minds and industry pioneers in wireless communication networks, protocols, and devices.

In addition to new discussions of...

Web Application Architecture: Principles, Protocols and Practices
Web Application Architecture: Principles, Protocols and Practices

In-depth examination of concepts and principles of Web application development

Completely revised and updated, this popular book returns with coverage on a range of new technologies. Authored by a highly respected duo, this edition provides an in-depth examination of the core concepts and general principles of Web application...

Modeling and Reasoning with Bayesian Networks
Modeling and Reasoning with Bayesian Networks

Bayesian networks have received a lot of attention over the last few decades from both scientists and engineers, and across a number of fields, including artificial intelligence (AI), statistics, cognitive science, and philosophy.

Perhaps the largest impact that Bayesian networks have had is on the field of AI, where they were...

Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Reveals How HMMs Can Be Used as General-Purpose Time Series Models

Implements all methods in R
Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and
...

Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)
Neural Networks in Atmospheric Remote Sensing (Artech House Remote Sensing Library)

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...

Result Page: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Next 
©2020 LearnIT (support@pdfchm.net) - Privacy Policy