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Algorithms: Design and Analysis (De Gruyter Textbook)
Algorithms: Design and Analysis (De Gruyter Textbook)

Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the...

Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner
Dive Into Algorithms: A Pythonic Adventure for the Intrepid Beginner
Dive Into Algorithms is a broad introduction to algorithms using the Python Programming Language.

Dive Into Algorithms is a wide-ranging, Pythonic tour of many of the world's most interesting algorithms. With little more than a bit of computer programming experience and basic high-school math,
...
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...

Essential C++ for Engineers and Scientists (2nd Edition)
Essential C++ for Engineers and Scientists (2nd Edition)

Essential C++ for Engineers and Scientists zeros in on the key elements of good programming and C++, using a multitude of interesting and appropriate engineering and scientific examples. This book covers the features of C++ needed for writing engineering programs, including many features of object-oriented programming. Early on, the book...

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R
Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python...

C++ Standard Library Practical Tips (Programming Series)
C++ Standard Library Practical Tips (Programming Series)
Put the Power of the C++ Standard Library to Work!

C++ Standard Library Practical Tips teaches beginning and experienced programmers how to use the Standard Library and its major component the Standard Template Library (STL) effectively in routine programming chores. The book provides 100 quick, easy-to-use tips and solutions to common...

Wireless Algorithms, Systems, and Applications: 6th International Conference, WASA 2011, Chengdu
Wireless Algorithms, Systems, and Applications: 6th International Conference, WASA 2011, Chengdu

This book constitutes the refereed proceedings of the 6th Annual International Conference on Wireless Algorithms, Systems, and Applications, WASA 2011, held in Chengdu, China, in August 2011. The 26 revised full papers and 13 invited papers presented were carefully reviewed and selected from numerous submissions. The papers address all...

Data Structures & Algorithms in Swift: Implementing practical data structures with Swift 4
Data Structures & Algorithms in Swift: Implementing practical data structures with Swift 4

Learn data structures and algorithms in Swift! Understanding how data structures and algorithms work in code is crucial for creating efficient and scalable apps. Swift’s Standard Library has a small set of general purpose collection types, yet they definitely don’t cover every case! In this book, you’ll learn how to...

Fourier Transform Methods in Finance
Fourier Transform Methods in Finance

In recent years, Fourier transform methods have emerged as one of the major methodologies for the evaluation of derivative contracts, largely due to the need to strike a balance between the extension of existing pricing models beyond the traditional Black-Scholes setting and a need to evaluate prices consistently with the market...

Digital Filters and Signal Processing in Electronic Engineering: Theory, Applications, Architecture, Code (Woodhead Publishing Series in Optical and Electronic Materials)
Digital Filters and Signal Processing in Electronic Engineering: Theory, Applications, Architecture, Code (Woodhead Publishing Series in Optical and Electronic Materials)
From industrial and teaching experience the authors provide a blend of theory and practice of digital signal processing (DSP) for advanced undergraduate and post-graduate engineers reading electronics. This fast-moving, developing area is driven by the information technology revolution. It is a source book in research and development for...
Hadoop: The Definitive Guide
Hadoop: The Definitive Guide

Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing...

Unsupervised Learning with R
Unsupervised Learning with R

Work with over 40 packages to draw inferences from complex datasets and find hidden patterns in raw unstructured data

About This Book

  • Unlock and discover how to tackle clusters of raw data through practical examples in R
  • Explore your data and create your own models from scratch
  • ...
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