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  • Algorithms
  • 點閱:1
  • 作者: by John Paul Mueller and Luca Massaron
  • 出版社:John Wiley & Sons, Inc.
  • 出版年:c2017
  • 集叢名:For dummies
  • ISBN:9781119330493; 9781119330523; 9781119330530
  • 格式:EPUB 流式,PDF,JPG
  • 附註:"Learning made easy"--Cover. Includes index.

Discover how algorithms shape and impact our digital world
All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making.
 
Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python!
 

Become well-versed in the major areas comprising algorithms
Examine the incredible history behind algorithms
Get familiar with real-world applications of problem-solving procedures
Experience hands-on development of an algorithm from start to finish with Python
If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.


ABOUT THE AUTHOR
John Paul Mueller has produced 102 books and more than 600 articles to date on topics ranging from networking to machine learning.
 
Luca Massaron is a data scientist specializing in organizing and interpreting big data and transforming it into smart data by means of the simplest and most effective data mining and machine learning techniques.

  • Introduction(第1頁)
    • About This Book(第1頁)
    • Foolish Assumptions(第3頁)
    • Icons Used in This Book(第3頁)
    • Beyond the Book(第4頁)
    • Where to Go from Here(第5頁)
  • Part 1 Getting Started(第7頁)
    • Chapter 1 Introducing Algorithms(第9頁)
    • Chapter 2 Considering Algorithm Design(第23頁)
    • Chapter 3 Using Python to Work with Algorithms(第43頁)
    • Chapter 4 Introducing Python for Algorithm Programming(第67頁)
    • Chapter 5 Performing Essential Data Manipulations Using Python(第91頁)
  • Part 2 Understanding the Need to Sort and Search(第113頁)
    • Chapter 6 Structuring Data(第115頁)
    • Chapter 7 Arranging and Searching Data(第133頁)
  • Part 3 Exploring the World of Graphs(第153頁)
    • Chapter 8 Understanding Graph Basics(第155頁)
    • Chapter 9 Reconnecting the Dots(第173頁)
    • Chapter 10 Discovering Graph Secrets(第197頁)
    • Chapter 11 Getting the Right Web page(第207頁)
  • Part 4 Struggling with Big Data(第223頁)
    • Chapter 12 Managing Big Data(第225頁)
    • Chapter 13 Parallelizing Operations(第249頁)
    • Chapter 14 Compressing Data(第265頁)
  • Part 5 Challenging Difficult Problems(第281頁)
    • Chapter 15 Working with Greedy Algorithms(第283頁)
    • Chapter 16 Relying on Dynamic Programming(第299頁)
    • Chapter 17 Using Randomized Algorithms(第321頁)
    • Chapter 18 Performing Local Search(第339頁)
    • Chapter 19 Employing Linear Programming(第357頁)
    • Chapter 20 Considering Heuristics(第371頁)
  • Part 6 The Part of Tens(第389頁)
    • Chapter 21 Ten Algorithms That Are Changing the World(第391頁)
    • Chapter 22 Ten Algorithmic Problems Yet to Solve(第399頁)
  • Index(第405頁)
紙本書 NT$ 960
單本電子書
NT$ 960

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