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Go Standard Library Cookbook: Over 120 specific ways to make full use of the standard library components in Golang
Go Standard Library Cookbook: Over 120 specific ways to make full use of the standard library components in Golang

Implement solutions by leveraging the power of the GO standard library and reducing dependency on external crates

Key Features

  • Develop high quality, fast and portable applications by leveraging the power of Go Standard Library.
  • Practical recipes that will help you work...
Data Structures and Algorithmic Thinking with Go: Data Structure and Algorithmic Puzzles
Data Structures and Algorithmic Thinking with Go: Data Structure and Algorithmic Puzzles

Peeling Data Structures and Algorithms:

The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our GoLang coding style. This book focuses on giving solutions for complex problems in data structures and...

Fast, Efficient and Predictable Memory Accesses: Optimization Algorithms for Memory Architecture Aware Compilation
Fast, Efficient and Predictable Memory Accesses: Optimization Algorithms for Memory Architecture Aware Compilation
The influence of embedded systems is constantly growing. Increasingly powerful and versatile devices are being developed and put on the market at a fast pace. The number of features is increasing, and so are the constraints on the systems concerning size, performance, energy dissipation and timing predictability. Since most systems today use a...
Topological Algorithms for Digital Image Processing (Machine Intelligence and Pattern Recognition)
Topological Algorithms for Digital Image Processing (Machine Intelligence and Pattern Recognition)
Objects in three dimensions, and their two-dimensional images, are approximated digitally by sets of voxels ("volume elements") or pixels ("picture elements"), respectively. Digital geometry is the study of geometric properties of digitized objects (or digitized images of objects); it deals both with the definitions of such...
Algorithms and Protocols for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)
Algorithms and Protocols for Wireless Sensor Networks (Wiley Series on Parallel and Distributed Computing)
Boukerche is well-known and established international researcher in the field of wireless mobile networks and distributed systems. This is one of the first publications to focus on wireless ad hoc and sensor networks with a concentration on algorithms and protocols providing you with a comprehensive resource to learn about the continuous advances...
Ultra-Low Energy Wireless Sensor Networks in Practice: Theory, Realization and Deployment
Ultra-Low Energy Wireless Sensor Networks in Practice: Theory, Realization and Deployment

Finally a book on Wireless Sensor Networks that covers real world applications and contains practical advice!

Kuorilehto et al. have written the first  practical guide to wireless sensor networks. The authors draw on their experience in the development and field-testing of autonomous wireless sensor...

XML Retrieval (Synthesis Lectures on Information Concepts, Retrieval & Services)
XML Retrieval (Synthesis Lectures on Information Concepts, Retrieval & Services)
Documents usually have a content and a structure. The content refers to the text of the document, whereas the structure refers to how a document is logically organized. An increasingly common way to encode the structure is through the use of a mark-up language. Nowadays, the most widely used mark-up language for representing structure is the...
Foundations Of Algorithms Using C++ Pseudocode
Foundations Of Algorithms Using C++ Pseudocode

This third edition of Foundations of Algorithms Using C++ Pseudocode retains the features that made the second edition successful. As in the second edition, we still use pseudocode and not actual C++ code. The presentation of complex algorithms using all the details of any programming language would...

Data Structures and Problem Solving Using Java (3rd Edition)
Data Structures and Problem Solving Using Java (3rd Edition)

T^his book is designed for a two-semester sequence in computer science, beginning with what is typically known as Data Structures and continuing with advanced data structures and algorithm analysis. It is appropriate for the courses from both the two-course and three-course sequences in "B.l...

Introducing Data Science: Big Data, Machine Learning, and more, using Python tools
Introducing Data Science: Big Data, Machine Learning, and more, using Python tools

Summary

Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.

...

Machine Learning for Adaptive Many-Core Machines - A Practical Approach (Studies in Big Data)
Machine Learning for Adaptive Many-Core Machines - A Practical Approach (Studies in Big Data)

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise...

Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Contrast Data Mining: Concepts, Algorithms, and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems
Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more accessible to
...

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