Algorithms For Dummies 1st Edition by John Paul Mueller, Luca Massaron ISBN 1119330491 9781119330493

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ISBN 10: 1119330491
ISBN 13: 9781119330493
Author: John Paul Mueller, Luca Massaron

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.

Algorithms For Dummies 1st Edition Table of contents:

Part 1: Getting to Know Algorithms

1. What Are Algorithms, Really?

   • Definitions and Everyday Examples

   • A Bit of History

   • Algorithms vs. Programs

2. Ingredients of a Great Algorithm

   • Input, Output, and Processing

   • Time and Space Complexity

   • The Role of Pseudocode

3. Algorithm Analysis Basics

   • Big O, Big Ω, and Big Θ

   • Measuring Performance

   • When Fast Isn’t Always Better

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Part 2: Sorting and Searching Algorithms

4. Sorting It All Out

   • Bubble Sort

   • Insertion Sort

   • Selection Sort

   • Merge Sort and Quick Sort

5. Searching for Answers

   • Linear Search

   • Binary Search

   • Hash-Based Searching

6. Comparing Sorting and Searching Algorithms

   • Performance Trade-offs

   • Choosing the Right Tool

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Part 3: Working with Data Structures

7. Using Arrays and Lists

   • Static vs. Dynamic Structures

   • Linked Lists vs. Arrays

8. Stacks and Queues

   • First In, First Out (FIFO)

   • Last In, First Out (LIFO)

9. Trees and Graphs

   • Binary Trees, Heaps, and Tries

   • Graph Representations

   • Traversing Graphs: BFS and DFS

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Part 4: Smart Ways to Solve Problems

10. Divide and Conquer

• How It Works

• Classic Examples

11. Greedy Algorithms

• When Greedy Works

• Huffman Encoding and More

12. Dynamic Programming

• Memoization Explained

• Fibonacci and Beyond

13. Backtracking and Recursion

• Navigating Decision Trees

• Solving Puzzles and Constraint Problems

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Part 5: Real-World Algorithm Applications

14. Algorithms in Machine Learning

• Clustering, Classification, and Regression

• Training Models Efficiently

15. Algorithms in Everyday Life

• GPS Routing

• Online Recommendations

• Social Media Feeds

16. Understanding Cryptographic Algorithms

• Encryption, Hashing, and Keys

• Why Security Depends on Algorithms

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Part 6: The Part of Tens

17. Ten Common Algorithm Mistakes

18. Ten Tips for Studying Algorithms

19. Ten Must-Know Algorithms for Coders

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Tags: John Paul Mueller, Luca Massaron, Algorithms, Dummies