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Agile Model-Based Development Using UML-RSDS
Agile Model-Based Development Using UML-RSDS

This book describes the concepts and application of model-based development (MBD), model transformations, and Agile MBD to a wide range of software systems. It covers systems requirements engineering, system specification and design, verification, reuse, and system composition in the context of Agile MBD. Examples of applications in...

Practical DevOps
Practical DevOps

Key Features

  • Get to know the background of DevOps so you understand the collaboration between different aspects of an IT organization and a software developer
  • Improve your organization's performance to ensure smooth production of software and services
  • Deploy top-quality software and...
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios

The definitive reference book with real-world solutions you won't find anywhere else

The Big Book of Dashboards presents a comprehensive reference for those tasked with building or overseeing the development of business dashboards.

Comprising dozens of examples that address different industries...

Predictive Analytics For Dummies
Predictive Analytics For Dummies

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

Adaptive Blind Signal and Image Processing
Adaptive Blind Signal and Image Processing
With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume unifies and extends the theories of adaptive blind signal and image processing and provides practical and efficient algorithms for blind source separation, Independent,...
SAP Transaction Codes: Frequently Used T-Codes
SAP Transaction Codes: Frequently Used T-Codes

SAPTransaction Codes: Frequently Used T-Codes is a reference book, which will be a handy tool for those using the SAP business software. It can be used by casual end users, power/super users, subject matter experts (SMEs) implementation project team members, as well application support staff.

...
Python for Finance: Analyze Big Financial Data
Python for Finance: Analyze Big Financial Data

The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects...

Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)
Machine Learning: An Algorithmic Perspective (Chapman & Hall/Crc Machine Learning & Pattern Recognition)

Traditional books on machine learning can be divided into two groups ― those aimed at advanced undergraduates or early postgraduates with reasonable mathematical knowledge and those that are primers on how to code algorithms. The field is ready for a text that not only demonstrates how to use the algorithms that make up machine learning...

Professional Financial Computing Using Excel and VBA
Professional Financial Computing Using Excel and VBA

"Professional Financial Computing Using Excel and VBA is an admirable exposition that bridges the theoretical underpinnings of financial engineering and its application which usually appears as a "black-box" software application. The book opens the black-box and reveals the architecture of risk-modeling and financial...

Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)
Bayesian Methods for Hackers: Probabilistic Programming and Bayesian Inference (Addison-Wesley Data & Analytics)

Master Bayesian Inference through Practical Examples and Computation–Without Advanced Mathematical Analysis

 

Bayesian methods of inference are deeply natural and extremely powerful. However, most discussions of Bayesian inference rely...

Python for Data Analysis
Python for Data Analysis

The scientific Python ecosystem of open source libraries has grown substantially over the last 10 years. By late 2011, I had long felt that the lack of centralized learning resources for data analysis and statistical applications was a stumbling block for new Python programmers engaged in such work. Key projects for data...

Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data
Graph Analysis and Visualization: Discovering Business Opportunity in Linked Data

Wring more out of the data with a scientific approach to analysis

Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the...

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