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Machine Learning in Action
Machine Learning in Action

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

How to Think About Algorithms
How to Think About Algorithms
There are many algorithm texts that provide lots of well-polished code and proofs of correctness. This book is not one of them. Instead, this book presents insights, notations, and analogies to help the novice describe and think about algorithms like an expert. By looking at both the big picture and easy step-by-step methods for developing...
Success Metrics: A Multidimensional Framework for Measuring Organizational Success
Success Metrics: A Multidimensional Framework for Measuring Organizational Success
Learn how to measure success at the individual and organizational levels. By measuring success in multiple dimensions using multivariate methods you will be able to determine what works and what doesn’t. The key is to measure and promote progress in terms of organizational vision, mission, and overarching goals.

Business
...
Bioinformatics Algorithms: Techniques and Applications (Wiley Series in Bioinformatics)
Bioinformatics Algorithms: Techniques and Applications (Wiley Series in Bioinformatics)
Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology

This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the...

Software & Systems Requirements Engineering: In Practice
Software & Systems Requirements Engineering: In Practice

Proven Software & Systems Requirements Engineering Techniques

"Requirements engineering is a discipline used primarily for large and complex applications. It is more formal than normal methods of gathering requirements, and this formality is needed for many large applications. The authors are experienced...

Geometric Computing: for Wavelet Transforms, Robot Vision, Learning, Control and Action
Geometric Computing: for Wavelet Transforms, Robot Vision, Learning, Control and Action

Geometric algebra (GA) is a powerful new mathematical system for computational geometry. Although its origins can be traced back to Hermann Grassmann (1844), its development as a language for space–time geometry with applications to all of physics did not begin until 1966. Suddenly, in the year 2000 it was recognized that a specialized...

Pro DLR in .NET 4
Pro DLR in .NET 4

Dynamic Language Runtime (DLR) in .NET is a framework for designing and interacting with dynamic languages such as Python and Ruby. For the first time, the DLR places such languages on an equal footing in the .NET world with compiled languages such as C# and VB.NET. Chaur Wu’s book, Pro DLR in .NET 4,...

IT Portfolio Management: Unlocking the Business Value of Technology
IT Portfolio Management: Unlocking the Business Value of Technology
This book provides a pragmatic, step-by-step road map, describing IT portfolio
management and its major elements. Chapter 1 provides an overview of IT
portfolio management. Chapter 2 describes the planning aspects of IT portfolio
management. It explains the IT portfolio management maturity model and the
key people, process, and
...
Mastering Julia
Mastering Julia

Key Features

  • Build statistical models with linear regression and analysis of variance (ANOVA)
  • Create your own modules and contribute to the Julia package system
  • Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization

...

Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange

Data Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the US Department of Defense is mandating that all of its agencies and contractors assume a defining presence on the Net-centric...

C++17 STL Cookbook
C++17 STL Cookbook

Key Features

  • Learn the latest features of C++ and how to write better code by using the Standard Library (STL). Reduce the development time for your applications.
  • Understand the scope and power of STL features to deal with real-world problems.
  • Compose your own algorithms without forfeiting...
Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)
Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...

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