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Top 99 free books from Project Gutenberg

Project Gutenberg is the Internet’s oldest producer of FREE electronic books (eBooks or eTexts).   The Notebooks of Leonardo Da Vinci — Complete by Leonardo da Vinci (8587) The Art

Advances in Robotics, Automation and Control

eBook Details: Jesus Aramburo and Antonio Ramirez Trevino Hardcover:472 pages Publisher: InTech (October 01, 2008 ) Language: English ISBN 978-953-7619-16-9 eBook Description: The book presents an excellent overview of the recent developments

Wind Power

eBook Details: Editor S M Muyeen Hardcover: 578 pages Publisher: InTech (June, 2010 ) Language: English ISBN 978-953-7619-81-7 eBook Description: This book is the result of inspirations and contributions from many

Modelling and Simulation

eBook Details: Editor Giuseppe Petrone and Giuliano Cammarata Hardcover: 688 pages Publisher: InTech (June, 2008 ) Language: English ISBN-13: 978-3-902613-25-7 eBook Description: This book collects original and innovative research studies concerning modeling

A Programmer’s Guide to Data Mining

Edited by Ron Zacharski Publisher: GuideToDatamining.com 2014 Description: Before you is a tool for learning basic data mining techniques. If you are a programmer interested in learning a bit about

Top 99 free books from Project Gutenberg

Project Gutenberg is the Internet’s oldest producer of FREE electronic books (eBooks or eTexts).


 

 

Advances in Robotics, Automation and Control

Robotics

eBook Details:

Jesus Aramburo and Antonio Ramirez Trevino
Hardcover:472 pages
Publisher: InTech (October 01, 2008 )
Language: English
ISBN 978-953-7619-16-9

eBook Description:

The book presents an excellent overview of the recent developments in the different areas of Robotics, Automation and Control. Through its 24 chapters, this book presents topics related to control and robot design; it also introduces new mathematical tools and techniques devoted to improve the system modeling and control. An important point is the use of rational agents and heuristic techniques to cope with the computational complexity required for controlling complex systems. Through this book, we also find navigation and vision algorithms, automatic handwritten comprehension and speech recognition systems that will be included in the next generation of productive systems developed by man.

Advances in Robotics, Automation and Control

Wind Power

Power Wind

eBook Details:

Editor S M Muyeen
Hardcover: 578 pages
Publisher: InTech (June, 2010 )
Language: English
ISBN 978-953-7619-81-7

eBook Description:

This book is the result of inspirations and contributions from many researchers of different fields. A wide verity of research results are merged together to make this book useful for students and researchers who will take contribution for further development of the existing technology. I hope you will enjoy the book, so that my effort to bringing it together for you will be successful. In my capacity, as the Editor of this book, I would like to thanks and appreciate the chapter authors, who ensured the quality of the material as well as submitting their best works. Most of the results presented in to the book have already been published on international journals and appreciated in many international conferences.

Wind Power

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Modelling and Simulation

modelling and simulation

eBook Details:

Editor Giuseppe Petrone and Giuliano Cammarata
Hardcover: 688 pages
Publisher: InTech (June, 2008 )
Language: English
ISBN-13: 978-3-902613-25-7

eBook Description:

This book collects original and innovative research studies concerning modeling and simulation of physical systems in a very wide range of applications, encompassing micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, biological and chemical sensors, magnetosensitive materials, silicon photonic devices, electronic devices, optical fibers, electro-microfluidic systems, composite materials, fuel cells, indoor air-conditioning systems, active magnetic levitation systems and more. Some of the most recent numerical techniques, as well as some of the software among the most accurate and sophisticated in treating complex systems, are applied in order to exhaustively contribute in knowledge advances.

Modelling and Simulation

 

A Programmer’s Guide to Data Mining

guidedataminin

Edited by Ron Zacharski

Publisher: GuideToDatamining.com 2014

Description:
Before you is a tool for learning basic data mining techniques. If you are a programmer interested in learning a bit about data mining you might be interested in a beginner’s hands-on guide as a first step. That’s what this book provides.

 Download or read it online here: A Programmer’s Guide to Data Mining


DATA MINING AND ANALYSIS: Fundamental Concepts and Algorithms

datamining

Edited by : MOHAMMED J. ZAKI and WAGNER MEIRA JR

This book is an outgrowth of data mining courses at Rensselae r Polytechnic Institute (RPI) and Universidade Federal de Minas Gerais (UFMG); the R PI course has been offered every Fall since 1998, whereas the UFMG course has be en offered since 2002. Although there are several good books on data mining an d related topics, we felt that many of them are either too high-level or too advanc ed. Our goal was to write an introductory text that focuses on the fundamental a lgorithms in data mining and analysis. It lays the mathematical foundations for the c ore data mining methods, with key concepts explained when first encountered; the boo k also tries to build the intuition behind the formulas to aid understanding. The main parts of the book include exploratory data analysis , frequent pattern mining, clustering, and classification. The book lays the ba sic foundations of these tasks, and it also covers cutting-edge topics such as kernel methods, high-dimensional data analysis, and complex graphs and networks. It integrat es concepts from related disciplines such as machine learning and statistics and is a lso ideal for a course on data analysis. Most of the prerequisite material is covered in th e text, especially on linear algebra, and probability and statistics. The book includes many examples to illustrate the main techn ical concepts. It also has end-of-chapter exercises, which have been used in class . All of the algorithms in the book have been implemented by the authors. We suggest that re aders use their favorite data analysis and mining software to work through our exampl es and to implement the algorithms we describe in text; we recommend the R software o r the Python language with its NumPy package.

DATA MINING AND ANALYSIS: Fundamental Concepts and Algorithms


The Python Tutorial

python

Python is an easy to learn, powerful programming language. It has efficient high-level data structures and a simple but effective approach to object-oriented programming. Python’s elegant syntax and dynamic typing, together with its interpreted nature, make it an ideal language for scripting and rapid application development in many areas on most platforms.

The Python Tutorial


Learning Java

learningjava_cover

This book is for computer professionals, students and technical people.. It’s for everyone who has a need for hands-on experience with the Java language with an eye toward building real applications. This book could also be considered a crash course in object-oriented programming, networking, GUIs, and XML. As you learn about Java, you’ll also learn a powerful and practical approach to software development, beginning with a deep understanding of the fundamentals of Java and its APIs.

Read Online


Neural Networks

neural_network    

This book provides a solid foundation of basic neural network concepts.

It contains an overview of neural network architectures for practical data analysis followed by extensive step-by-step coverage on linear networks, as well as, multi-layer perceptron for nonlinear prediction and classification explaining all stages of processing and model development illustrated through practical examples and case studies. Later chapters present an extensive coverage on Self Organizing Maps for nonlinear data clustering, recurrent networks for linear nonlinear time series forecasting, and other network types suitable for scientific data analysis.

Click on the link below to start downloading this free ebook

Neural Networks

 

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