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Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition
Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB
Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB
Learn how to solve complex differential equations using MATLAB®

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB...

Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)

Time Series Analysis and Its Applications presents a balanced and comprehensive treatment of both time and frequency domain methods with accompanying theory. Numerous examples using nontrivial data illustrate solutions to problems such as discovering natural and anthropogenic climate change, evaluating pain perception...

Statistical Analysis of Financial Data in R (Springer Texts in Statistics)
Statistical Analysis of Financial Data in R (Springer Texts in Statistics)

Although there are many books on mathematical finance, few deal with the statistical aspects of modern data analysis as applied to financial problems. This textbook fills this gap by addressing some of the most challenging issues facing financial engineers. It shows how sophisticated mathematics and modern statistical techniques can...

Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Testing and Tuning Market Trading Systems: Algorithms in C++
Testing and Tuning Market Trading Systems: Algorithms in C++

Build, test, and tune financial, insurance or other market trading systems using C++ algorithms and statistics. You’ve had an idea and have done some preliminary experiments, and it looks promising. Where do you go from here?  Well, this book discusses and dissects this case study approach.  

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Beginning Ethical Hacking with Kali Linux: Computational Techniques for Resolving Security Issues
Beginning Ethical Hacking with Kali Linux: Computational Techniques for Resolving Security Issues

Get started in white-hat ethical hacking using Kali Linux. This book starts off by giving you an overview of security trends, where you will learn the OSI security architecture. This will form the foundation for the rest of Beginning Ethical Hacking with Kali Linux. With the theory out of the way, you’ll...

The Linux Philosophy for SysAdmins: And Everyone Who Wants To Be One
The Linux Philosophy for SysAdmins: And Everyone Who Wants To Be One

Reveals and illustrates the awesome power and flexibility of the command line, and the design and usage philosophies that support those traits. This understanding of how to extract the most from the Linux command line can help you become a better SysAdmin. Understand why many things in the Linux and Unix worlds are done as...

The Nature of Code: Simulating Natural Systems with Processing
The Nature of Code: Simulating Natural Systems with Processing
How can we capture the unpredictable evolutionary and emergent properties of nature in software? How can understanding the mathematical principles behind our physical world help us to create digital worlds? This book focuses on a range of programming strategies and techniques behind computer simulations of natural systems, from elementary...
Bioluminescent Imaging: Methods and Protocols (Methods in Molecular Biology)
Bioluminescent Imaging: Methods and Protocols (Methods in Molecular Biology)

This volume provides detailed protocols and methodologies required to perform bioluminescent imaging in multiple stages, enabling the reader to integrate this technology into their laboratory-based imaging experiments. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions...

International Conference on Innovative Computing and Communications: Proceedings of ICICC 2018, Volume 1 (Lecture Notes in Networks and Systems (55))
International Conference on Innovative Computing and Communications: Proceedings of ICICC 2018, Volume 1 (Lecture Notes in Networks and Systems (55))

The book includes high-quality research papers presented at the International Conference on Innovative Computing and Communication (ICICC 2018), which was held at the Guru Nanak Institute of Management (GNIM), Delhi, India on 5–6 May 2018. Introducing the innovative works of scientists, professors, research scholars, students...

Visual Perception for Humanoid Robots: Environmental Recognition and Localization, from Sensor Signals to Reliable 6D Poses (Cognitive Systems Monographs (38))
Visual Perception for Humanoid Robots: Environmental Recognition and Localization, from Sensor Signals to Reliable 6D Poses (Cognitive Systems Monographs (38))
This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental...
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