• Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
• Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
• Authored by Ivan Idris, expert in python programming and proud...

In this practical guide, electronics guru Simon Monk takes you under the hood of Arduino and reveals professional programming secrets. Featuring coverage of the Arduino Uno, Leonardo, and Due boards, Programming Arduino Next Steps: Going Further with Sketches shows you how to use...

Coding Theory: Algorithms, Architectures and Applications provides a concise overview...

• Learn how to tackle every step in the data science pipeline and use it to acquire, clean, analyze, and visualize data
• Get beyond the theory with real-world projects
• Expand your numerical programming skills through step-by-step code examples and learn more about the robust...

The most visible use of computers and software is processing information for human consumption. We use them to write books (like this one), search for information on the web, communicate via email, and keep track of financial data. The vast majority of computers in use, however, are much less visible. They run the engine, brakes,...

"The book stresses how systems operate and the rationale behind their design, rather than presenting rigorous analytical formulations ... [It provides] the practicality and breadth essential to mastering the concepts of modern communications systems." -Telecommunication Journal...

• Leverage the new features of the IPython notebook for interactive web-based big data analysis and visualization
• Become an expert in high-performance...

There is a software gap between hardware potential and the performance that can be attained using today ’ s software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. This book is intended to give the programmer the techniques necessary to explore parallelism in...

Nonlinear signal processing methods are finding numerous applications in such fields as imaging, teletraffic, communications, hydrology, geology, and economics–fields where nonlinear systems and non-Gaussian processes emerge. Within a broad class of nonlinear...

Adaptive filtering is an advanced and growing field in signal processing. A filter is a transmission network used in electronic circuits for the selective enhancement or reduction of specified components of an input signal. Filtering is achieved by selectively attenuating those components of the input signal which are undesired, relative to...