| Titre : |
40 Algorithms Every Programmer Should Know : Hone your problem-solving skills by learning different algorithms and their implementation in Python |
| Type de document : |
texte imprimé |
| Auteurs : |
Imran Ahmad |
| Editeur : |
Birmingham (GBR) ; Olton (GBR) : Packt Publishing |
| Année de publication : |
2020 |
| Importance : |
382 p. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-1-78980-121-7 |
| Langues : |
Anglais (eng) |
| Descripteurs : |
Algorithme mathématique , Algorithme numérique , Analyse des données , Apprentissage automatique , Cryptographie , Langage informatique , Programmation informatique , Programmation linéaire
|
| Tags : |
Algorithmes informatiques Algorithmes de réseau Langage de programmation Python Science des données Conception d'algorithmes Implémentation d'algorithmes Algorithmes d'apprentissage automatique Algorithmes graphiques Implémentation en Python Algorithmes fondamentaux |
| Index. décimale : |
851 Algorithmique - Structure des données |
| Résumé : |
This book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. It teaches algorithms for solving classic computer science problems and covers everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography. This guide is useful to learn the techniques you need to know to design algorithms for solving complex problems and become familiar with neural networks and deep learning techniques. It explores different types of algorithms and choose the right data structures for their optimal implementation. This book will be an help not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. It starts with an introduction to algorithms and discovers various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms. [D'après le résumé de l'éditeur] |
| Note de contenu : |
Comprend des exercices et des solutions. Mise à jour 29/06/21. Mise à jour 06/08/21 |
| En ligne : |
https://www.oreilly.com/library/view/40-algorithms-every/9781789801217/ |
| Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=165492 |
40 Algorithms Every Programmer Should Know : Hone your problem-solving skills by learning different algorithms and their implementation in Python [texte imprimé] / Imran Ahmad . - Birmingham (GBR) ; Olton (GBR) : Packt Publishing, 2020 . - 382 p. ; 24 cm. ISBN : 978-1-78980-121-7 Langues : Anglais ( eng)
| Descripteurs : |
Algorithme mathématique , Algorithme numérique , Analyse des données , Apprentissage automatique , Cryptographie , Langage informatique , Programmation informatique , Programmation linéaire
|
| Tags : |
Algorithmes informatiques Algorithmes de réseau Langage de programmation Python Science des données Conception d'algorithmes Implémentation d'algorithmes Algorithmes d'apprentissage automatique Algorithmes graphiques Implémentation en Python Algorithmes fondamentaux |
| Index. décimale : |
851 Algorithmique - Structure des données |
| Résumé : |
This book is for programmers or developers who want to understand the use of algorithms for problem-solving and writing efficient code. It teaches algorithms for solving classic computer science problems and covers everything from fundamental algorithms, such as sorting and searching, to modern algorithms used in machine learning and cryptography. This guide is useful to learn the techniques you need to know to design algorithms for solving complex problems and become familiar with neural networks and deep learning techniques. It explores different types of algorithms and choose the right data structures for their optimal implementation. This book will be an help not only to develop the skills to select and use an algorithm to solve real-world problems but also to understand how it works. It starts with an introduction to algorithms and discovers various algorithm design techniques, before exploring how to implement different types of algorithms, such as searching and sorting, with the help of practical examples. As you advance to a more complex set of algorithms, you'll learn about linear programming, page ranking, and graphs, and even work with machine learning algorithms, understanding the math and logic behind them. Further on, case studies such as weather prediction, tweet clustering, and movie recommendation engines will show you how to apply these algorithms optimally. Finally, you'll become well versed in techniques that enable parallel processing, giving you the ability to use these algorithms for compute-intensive tasks. By the end of this book, you'll have become adept at solving real-world computational problems by using a wide range of algorithms. [D'après le résumé de l'éditeur] |
| Note de contenu : |
Comprend des exercices et des solutions. Mise à jour 29/06/21. Mise à jour 06/08/21 |
| En ligne : |
https://www.oreilly.com/library/view/40-algorithms-every/9781789801217/ |
| Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=165492 |
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