| Titre : |
Data science from scratch : first principles with Python |
| Type de document : |
texte imprimé |
| Auteurs : |
Joel Grus |
| Mention d'édition : |
2nd edition |
| Editeur : |
Sebastopol, CA ; Cambridge (GBR) : O'Reilly |
| Année de publication : |
2019 |
| Importance : |
xvii-384 p. |
| Présentation : |
fig., tabl. |
| Format : |
24 cm |
| ISBN/ISSN/EAN : |
978-1-4920-4113-9 |
| Note générale : |
Notes bibliogr. Index |
| Langues : |
Anglais (eng) |
| Descripteurs : |
Fouille de données , Langage informatique , Programmation orientée objet , Structure des données
|
| Tags : |
Python Langage de programmation Data mining Langage à objets |
| Index. décimale : |
829 Entrepôt de données - Data Warehouse |
| Résumé : |
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data. [Résumé éditeur] |
| En ligne : |
https://www.oreilly.com/library/view/data-science-from/9781492041122/ |
| Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=156762 |
Data science from scratch : first principles with Python [texte imprimé] / Joel Grus . - 2nd edition . - Sebastopol, CA ; Cambridge (GBR) : O'Reilly, 2019 . - xvii-384 p. : fig., tabl. ; 24 cm. ISBN : 978-1-4920-4113-9 Notes bibliogr. Index Langues : Anglais ( eng)
| Descripteurs : |
Fouille de données , Langage informatique , Programmation orientée objet , Structure des données
|
| Tags : |
Python Langage de programmation Data mining Langage à objets |
| Index. décimale : |
829 Entrepôt de données - Data Warehouse |
| Résumé : |
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today’s messy glut of data. [Résumé éditeur] |
| En ligne : |
https://www.oreilly.com/library/view/data-science-from/9781492041122/ |
| Permalink : |
https://genes.bibli.fr/index.php?lvl=notice_display&id=156762 |
|  |
Data science from scratch / Sebastopol, CA ; Cambridge (GBR) : O'Reilly (2019)
