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Data Structures Succinctly Part 2

Data Structures Succinctly Part 2

eBook Details:

  • Paperback: 126 pages
  • Publisher: WOW! eBook (July 7, 2015)
  • Language: English
  • ISBN-10: n/a
  • ISBN-13: n/a

eBook Description:

Data Structures Succinctly Part 2

Data Structures Succinctly Part 2 is your concise guide to skip lists, hash tables, heaps, priority queues, AVL trees, and B-trees. As with the first book, you’ll learn how the structures behave, how to interact with them, and their performance limitations. Starting with skip lists and hash tables, and then moving to complex AVL trees and B-trees, author Robert Horvick explains what each structure’s methods and classes are, the algorithms behind them, and what is necessary to keep them valid. The book also features downloadable code samples and vivid diagrams to help you visualize the more abstract concepts, like node height and node rotations. CLICK TO DOWNLOAD

Data Structures Succinctly Part 1

Data Structures Succinctly Part 1

eBook Details:

  • Paperback: 111 pages
  • Publisher: WOW! eBook (July 7, 2015)
  • Language: English
  • ISBN-10: n/a
  • ISBN-13: n/a

eBook Description:

Data Structures Succinctly Part 1

Data Structures Succinctly Part 1 is your first step to a better understanding of the different types of data structures, how they behave, and how to interact with them. Starting with simple linked lists and arrays, and then moving to more complex structures like binary search trees and sets, author Robert Horvick explains what each structure’s methods and classes are and the algorithms behind them. Horvick goes a step further to detail their operational and resource complexity, ensuring that you have a clear understanding of what using a specific data structure entails. The book also features downloadable code samples and vivid diagrams to help you visualize the more abstract structures and algorithms. CLICK TO DOWNLOAD

Data Structures using C++

Data Structures using C++

eBook Details:

  • Paperback: 704 pages
  • Publisher: Oxford University Press; 1st edition (May 10, 2012)
  • Language: English
  • ISBN-10: 0198066236
  • ISBN-13: 978-0198066231

eBook Description:

Data Structures using C++

Data Structures Using C++ is designed to serve as a textbook for undergraduate engineering students of computer science and information technology as well as postgraduate students of computer applications. The book aims to provide a comprehensive coverage of all the topics related to data structures. CLICK TO DOWNLOAD

Computer Arithmetic: Algorithms and Hardware Designs, Second Edition

Computer Arithmetic Algorithms and Hardware Designs, 2nd Edition

eBook Details:

  • Hardcover: 672 pages
  • Publisher: Oxford University Press; 2nd edition (October 28, 2009)
  • Language: English
  • ISBN-10: 0195328485
  • ISBN-13: 978-0195328486

eBook Description:

Computer Arithmetic: Algorithms and Hardware Designs, Second Edition

Ideal for graduate and senior undergraduate courses in computer arithmetic and advanced digital design, Computer Arithmetic: Algorithms and Hardware Designs, Second Edition, provides a balanced, comprehensive treatment of computer arithmetic. It covers topics in arithmetic unit design and circuit implementation that complement the architectural and algorithmic speedup techniques used in high-performance computer architecture and parallel processing. Using a unified and consistent framework, the text begins with number representation and proceeds through basic arithmetic operations, floating-point arithmetic, and function evaluation methods. Later chapters cover broad design and implementation topics-including techniques for high-throughput, low-power, fault-tolerant, and reconfigurable arithmetic. An appendix provides a historical view of the field and speculates on its future. CLICK TO DOWNLOAD

Algorithms: Design and Analysis

Algorithms: Design and Analysis

eBook Details:

  • Paperback: 692 pages
  • Publisher: Oxford University Press (December 3, 2015)
  • Language: English
  • ISBN-10: 0199456666
  • ISBN-13: 978-0199456666

eBook Description:

Algorithms: Design and Analysis

Algorithms: Design and Analysis of is a textbook designed for the undergraduate and postgraduate students of computer science engineering, information technology, and computer applications. It helps the students to understand the fundamentals and applications of algorithms. CLICK TO DOWNLOAD

Machine Learning Using C# Succinctly

Machine Learning Using C# Succinctly

eBook Details:

  • Paperback: 148 pages
  • Publisher: WOW! eBook (October 21, 2015)
  • Language: English
  • ISBN-10: n/a
  • ISBN-13: n/a

eBook Description:

Machine Learning Using C# Succinctly

In Machine Learning Using C# Succinctly, you’ll learn several different approaches to applying machine learning to data analysis and prediction problems. Author James McCaffrey demonstrates different clustering and classification techniques, and explains the many decisions that must be made during development that determine how effective these techniques can be. McCaffrey provides thorough examples of applying k-means clustering to group strictly numerical data, calculating category utility to cluster both qualitative and quantitative information, and even using neural network classification to predict the output of previously unseen data. CLICK TO DOWNLOAD

Algorithms: Design Techniques and Analysis, Revised Edition

Algorithms: Design Techniques and Analysis, Revised Edition

eBook Details:

  • Hardcover: 572 pages
  • Publisher: World Scientific Publishing Company; Revised edition (February 16, 2016)
  • Language: English
  • ISBN-10: 9814723649
  • ISBN-13: 978-9814723640

eBook Description:

Algorithms: Design Techniques and Analysis, Revised Edition

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R Deep Learning Essentials

R Deep Learning Essentials

eBook Details:

  • Paperback: 170 pages
  • Publisher: WOW! eBook (March 30, 2016)
  • Language: English
  • ISBN-10: 1785280589
  • ISBN-13: 978-1785280580

eBook Description:

R Deep Learning Essentials: Build automatic classification and prediction models using unsupervised learning

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R Machine Learning By Example

R Machine Learning By Example

eBook Details:

  • Paperback: 340 pages
  • Publisher: WOW! eBook (March 31, 2016)
  • Language: English
  • ISBN-10: 1784390844
  • ISBN-13: 978-1784390846

eBook Description:

R Machine Learning By Example: Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully

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Practical Probabilistic Programming

Practical Probabilistic Programming

eBook Details:

  • Paperback: 456 pages
  • Publisher: WOW! eBook; 1st edition (May 1, 2016)
  • Language: English
  • ISBN-10: 1617292338
  • ISBN-13: 978-1617292330

eBook Description:

Practical Probabilistic Programming

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