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Mastering Machine Learning with R

Packt Publishing, 2015

Master machine learning techniques with R to deliver insights for complex projects

About This Book

Get to grips with the application of Machine Learning methods using an extensive set of R packages

Understand the benefits and potential pitfalls of using machine learning methods

...

SQL Hacks

O'Reilly, 2006

Whether you're running Access, MySQL, SQL Server, Oracle, or PostgreSQL, this book will help you push the limits of traditional SQL to squeeze data effectively from your database. The book offers 100 hacks -- unique tips and tools -- that bring you the knowledge of experts who apply what they know in the real world to help you...

Applications of Mathematics in Models, Artificial Neural Networks and Arts: Mathematics and Society

Springer, 2010

The book shows a very original organization addressing in a non traditional way, but with a systematic approach, to who has an interest in using mathematics in the social sciences.

The book is divided in four parts: (a) a historical part, written by Vittorio Capecchi which helps us understand the changes in the relationship between...

Graph Databases

O'Reilly, 2013

Graph databases address one of the great macroscopic business trends of today: leveraging complex and dynamic relationships in highly connected data to generate insight and competitive advantage. Whether we want to understand relationships between customers, elements in a telephone or data center network, entertainment...

Towards Safe Robots: Approaching Asimov’s 1st Law (Springer Tracts in Advanced Robotics)

Springer, 2013

The vision of seamless human-robot interaction in our everyday life that allows for tight cooperation between human and robot has not become reality yet. However, the recent increase in technology maturity finally made it possible to realize systems of high integration, advanced sensorial capabilities and enhanced power to cross this barrier...

Machine Learning in Computer Vision (Computational Imaging and Vision)

Springer, 2005

The goal of computer vision research is to provide computers with humanlike
perception capabilities so that they can sense the environment, understand
the sensed data, take appropriate actions, and learn from this experience in
order to enhance future performance. The field has evolved from the application
of classical pattern...

Aspects of Soft Computing, Intelligent Robotics and Control (Studies in Computational Intelligence)

Springer, 2009

Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow...

Nature-Inspired Algorithms for Optimisation (Studies in Computational Intelligence)

Springer, 2009

Nature-Inspired Algorithms have been gaining much popularity in recent years due to the fact that many real-world optimisation problems have become increasingly large, complex and dynamic. The size and complexity of the problems nowadays require the development of methods and solutions whose efficiency is measured...

Internet of Things with Arduino Cookbook

Packt Publishing, 2016

Key Features

This book offers key solutions and advice to address the hiccups faced when working on Arduino-based IoT projects in the real world

Take your existing skills and capabilities to the next level by building challenging IoT applications with ease.

Be the tech disruptor you always...

Unconstrained Face Recognition (International Series on Biometrics)

Springer, 2005

Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a...

Data Structures and Algorithms Using Python and C++

Franklin Beedle & Associates, 2009

THIS BOOK is intended for use in a traditional college-level data structures course (commonly known as CS2). This book assumes that students have learned the basic syntax of Python and been exposed to the use of existing classes. Most traditional CS1 courses that use Python will have covered all the necessary topics, and some may have covered a...

C# Deconstructed: Discover how C# works on the .NET Framework

Apress, 2014

C# Deconstructed answers a seemingly simply question: Just what is going on, exactly, when you run C# code on the .NET Framework?

To answer this question we will dig ever deeper into the structure of the C# language and the onion-skin abstraction layers of the .NET Framework that underpins it. We’ll follow the...

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