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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: Syncfusion (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: Packt Publishing (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: Packt Publishing (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: Manning Publications; 1st edition (May 1, 2016)
  • Language: English
  • ISBN-10: 1617292338
  • ISBN-13: 978-1617292330

eBook Description:

Practical Probabilistic Programming

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Algorithms in a Nutshell: A Practical Guide, 2nd Edition

Algorithms in a Nutshell: A Practical Guide, 2nd Edition

eBook Details:

  • Paperback: 390 pages
  • Publisher: O’Reilly Media; 2nd edition (April 2, 2016)
  • Language: English
  • ISBN-10: 1491948922
  • ISBN-13: 978-1491948927

eBook Description:

Algorithms in a Nutshell: A Practical Guide, 2nd Edition

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Mazes for Programmers: Code Your Own Twisty Little Passages

Mazes for Programmers

eBook Details:

  • Paperback: 286 pages
  • Publisher: Pragmatic Bookshelf; 1st edition (July 25, 2015)
  • Language: English
  • ISBN-10: 1680500554
  • ISBN-13: 978-1680500554

eBook Description:

Mazes for Programmers: Code Your Own Twisty Little Passages

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Exercises for Programmers: 57 Challenges to Develop Your Coding Skills

Exercises for Programmers

eBook Details:

  • Paperback: 118 pages
  • Publisher: Pragmatic Bookshelf; 1st edition (September 14, 2015)
  • Language: English
  • ISBN-10: 1680501224
  • ISBN-13: 978-1680501223

eBook Description:

Exercises for Programmers: 57 Challenges to Develop Your Coding Skills

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F# for Machine Learning Essentials

F# for Machine Learning Essentials

eBook Details:

  • Paperback: 194 pages
  • Publisher: Packt Publishing (March 4, 2016)
  • Language: English
  • ISBN-10: 1783989343
  • ISBN-13: 978-1783989348

eBook Description:

F# for Machine Learning Essentials: Get up and running with machine learning with F# in a fun and functional way

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