This book provides an introduction to concurrent, real-time, distributed programming with Java object-oriented language support as an algorithm description tool. It describes in particular the mechanisms of synchronization (cooperative and competitive) and sharing of data (internal class, static variables) between threads in Java. He...

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Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

• Quickly develop electronics projects that interact with Internet applications using JavaScript and Python
• Learn about electronics components such as sensors and motors, and how to communicate with them by writing programs
• A step-by-step guide to explore the...

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

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• Learn to build advanced level robots with Intel Edison and Arduino
• Efficiently build and program home automation and IoT projects with Intel Edison
• Master the skills of creating...

This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of colour graphics. It is a valuable resource...