Algorithms For Dummies

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Algorithms For Dummies, Wiley
Von John Paul Mueller, Luca Massaron, im heise Shop in digitaler Fassung erhältlich
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Artikel-Beschreibung
YOUR SECRET WEAPON TO UNDERSTANDING—AND USING!—ONE OF THE MOST POWERFUL INFLUENCES IN THE WORLD TODAY

From your Facebook News Feed to your most recent insurance premiums—even making toast!—algorithms play a role in virtually everything that happens in modern society and in your personal life. And while they can seem complicated from a distance, the reality is that, with a little help, anyone can understand—and even use—these powerful problem-solving tools!

In Algorithms For Dummies, you'll discover the basics of algorithms, including what they are, how they work, where you can find them (spoiler alert: everywhere!), who invented the most important ones in use today (a Greek philosopher is involved), and how to create them yourself.

You'll also find:

* Dozens of graphs and charts that help you understand the inner workings of algorithms
* Links to an online repository called GitHub for constant access to updated code
* Step-by-step instructions on how to use Google Colaboratory, a zero-setup coding environment that runs right from your browser

Whether you're a curious internet user wondering how Google seems to always know the right answer to your question or a beginning computer science student looking for a head start on your next class, Algorithms For Dummies is the can't-miss resource you've been waiting for.

JOHN MUELLER has published more than 100 books on technology, data, and programming. John has a website and blog where he writes articles on technology and offers assistance alongside his published books.

LUCA MASSARON is a data scientist specializing in insurance and finance. A Google Developer Expert in machine learning, he has been involved in quantitative analysis and algorithms since 2000. Introduction 1

PART 1: GETTING STARTED WITH ALGORITHMS 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

PART 2: UNDERSTANDING THE NEED TO SORT AND SEARCH 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

PART 3: EXPLORING THE WORLD OF GRAPHS 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

PART 4: WRANGLING BIG DATA 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

PART 5: CHALLENGING DIFFICULT PROBLEMS 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

PART 6: THE PART OF TENS 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

ntroduction 1

PART 1: GETTING STARTED WITH ALGORITHMS 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

PART 2: UNDERSTANDING THE NEED TO SORT AND SEARCH 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

PART 3: EXPLORING THE WORLD OF GRAPHS 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

PART 4: WRANGLING BIG DATA 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

PART 5: CHALLENGING DIFFICULT PROBLEMS 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

PART 6: THE PART OF TENS 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417

ntroduction 1

PART 1: GETTING STARTED WITH ALGORITHMS 7

Chapter 1: Introducing Algorithms 9

Chapter 2: Considering Algorithm Design 23

Chapter 3: Working with Google Colab 41

Chapter 4: Performing Essential Data Manipulations Using Python 59

Chapter 5: Developing a Matrix Computation Class 79

PART 2: UNDERSTANDING THE NEED TO SORT AND SEARCH 97

Chapter 6: Structuring Data 99

Chapter 7: Arranging and Searching Data 117

PART 3: EXPLORING THE WORLD OF GRAPHS 139

Chapter 8: Understanding Graph Basics 141

Chapter 9: Reconnecting the Dots 161

Chapter 10: Discovering Graph Secrets 195

Chapter 11: Getting the Right Web page 207

PART 4: WRANGLING BIG DATA 223

Chapter 12: Managing Big Data 225

Chapter 13: Parallelizing Operations 249

Chapter 14: Compressing and Concealing Data 267

PART 5: CHALLENGING DIFFICULT PROBLEMS 289

Chapter 15: Working with Greedy Algorithms 291

Chapter 16: Relying on Dynamic Programming 307

Chapter 17: Using Randomized Algorithms 331

Chapter 18: Performing Local Search 349

Chapter 19: Employing Linear Programming 367

Chapter 20: Considering Heuristics 381

PART 6: THE PART OF TENS 401

Chapter 21: Ten Algorithms That Are Changing the World 403

Chapter 22: Ten Algorithmic Problems Yet to Solve 411

Index 417
Artikel-Details
Anbieter:
Wiley
Autor:
John Paul Mueller, Luca Massaron
Artikelnummer:
9781119870005
Veröffentlicht:
23.03.2022
Seitenanzahl:
448

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