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Intelligent Data Analysis An Introduction

This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The ten coherently written chapters by leading experts provide complete coverage of the core issues.

Inductive Databases and Constraint-Based Data Mining

This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area.

Hands-On Application Development with PyCharm: Accelerate your Python applications using practical coding techniques in PyCharm

A definitive guide to PyCharm to help you build business-oriented Python applications ranging from modern web development to data science Key Features Learn basic to advanced PyCharm concepts to improve efficiency of your Python projects Work through practical examples that focus on efficient application development with PyCharm Explore advanced features in PyCharm such as code automation, version control, and GUI debugging

Effective TypeScript: 62 Specific Ways to Improve Your TypeScript

TypeScript is a typed superset of JavaScript with the potential to solve many of the headaches for which JavaScript is famous. But TypeScript has a learning curve of its own, and understanding how to use it effectively can take time. This book guides you through 62 specific ways to improve your use of TypeScript.

Virtualized Cloud Data Center Networks: Issues in Resource Management. (SpringerBriefs in Electrical and Computer Engineering)

This book discusses the characteristics of virtualized cloud networking, identifies the requirements of cloud network management, and illustrates the challenges in deploying virtual clusters in multi-tenant cloud data centers. The book also introduces network partitioning techniques to provide contention-free allocation, topology-invariant reallocation, and highly efficient resource utilization, based on the Fat-tree network structure.

The Arduino controlled by eForth

All these years, I have been looking for microcontroller platforms on which I can teach people how to program in the FORTH language. I designed a training course I called Firmware Engineering Workshop. I could train an open minded engineer to program in FORTH in about a week, with a reasonable capable platform, i.e., a microcontroller evaluation board with a FORTH operating system loaded. Good platforms are expansive, and low-cost platforms are inadequate. What I did was to grab any microcontroller board at hand and used it. It did not work well because what I taught could not be easily replicated by people at home. People got frustrated when they could not reproduce results I demonstrated. Then, I found the Arduino Uno Board.

Terraform: Up and Running: Writing Infrastructure as Code

Terraform has emerged as a key player in the DevOps world for defining, launching, and managing infrastructure as code (IAC) across a variety of cloud and virtualization platforms, including AWS, Google Cloud, and Azure. This hands-on book is the fastest way to get up and running with Terraform.

Scalable Hardware Verification with Symbolic Simulation

This book is intended as an innovative overview of current formal verification methods, combined with an in-depth analysis of some advanced techniques to improve the scalability of these methods, and close the gap between design and verification in computer-aided design.

Semantic Software Design: A New Theory and Practical Guide for Modern Architects

With this practical book, architects, CTOs, and CIOs will learn a set of patterns for the practice of architecture, including analysis, documentation, and communication. Author Eben Hewitt shows you how to create holistic and thoughtful technology plans, communicate them clearly, lead people toward the vision, and become a great architect or Chief Architect.

Sampling Theory and Analog-to-Digital Conversion

Why another book on sampling theory and analog-to-digital conversion? This book takes a linear system theory approach to analog-to-digital conversion. From linear systems theory, we introduce sampling theory and use the tools from linear system theory to prove Shannon's sampling theorem. Shannon's sampling theorem shows how an analog signal can be converted to a discrete time signal and how the original can be exactly recovered from the discrete time signal. Digital is an approximation to discrete time so exact reconstruction is not possible; however, practically speaking the reconstructed signal is identical to the original analog signal. Digital is more than just 1's and 0's. Digital technology is universal. Once data is in digital form, it can be converted from one digital format to another without any additional loss of information (excluding lossy data compression).

Recent Developments in Anisotropic Heterogeneous Shell Theory: Applications of Refined and Three-dimensional Theory—Volume IIA (SpringerBriefs in Applied Sciences and Technology)

This brief book presents solutions of stress-strain problems for a wide class of anisotropic inhomogeneous shells obtained by the refined model. Studying these problems results in severe computational difficulties due to partial differential equations with variable coefficients resulting from the constitutive relations of the original model.

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