Data science from scratch: first principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of the most fundamental data science tool...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media
[2019]
|
| Ausgabe: | Second edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781492041122/?ar |
| Zusammenfassung: | Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of the most fundamental data science 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 hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out. |
| Beschreibung: | Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, April 16, 2019). - Online resource; title from digital title page (viewed on March 9, 2021) |
| Umfang: | 1 Online-Ressource (xvii, 376 Seiten) illustrations (some color) |
| ISBN: | 9781492041108 1492041106 9781492041085 1492041084 |
Internformat
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| spelling | Grus, Joel VerfasserIn aut Data science from scratch first principles with Python Joel Grus Second edition. Sebastopol, CA O'Reilly Media [2019] 1 Online-Ressource (xvii, 376 Seiten) illustrations (some color) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, April 16, 2019). - Online resource; title from digital title page (viewed on March 9, 2021) Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you'll learn how many of the most fundamental data science 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 hacking skills you need to get started as a data scientist. Today's messy glut of data holds answers to questions no one's even thought to ask. This book provides you with the know-how to dig those answers out. Python (Computer program language) Database management Data structures (Computer science) Data mining Data mining Mathematics Data Mining Python (Langage de programmation) Bases de données ; Gestion Structures de données (Informatique) Exploration de données (Informatique) Exploration de données (Informatique) ; Mathématiques COMPUTERS ; Programming Languages ; Python Data mining ; Mathematics 9781492041139 Erscheint auch als Druck-Ausgabe 9781492041139 |
| spellingShingle | Grus, Joel Data science from scratch first principles with Python Python (Computer program language) Database management Data structures (Computer science) Data mining Data mining Mathematics Data Mining Python (Langage de programmation) Bases de données ; Gestion Structures de données (Informatique) Exploration de données (Informatique) Exploration de données (Informatique) ; Mathématiques COMPUTERS ; Programming Languages ; Python Data mining ; Mathematics |
| title | Data science from scratch first principles with Python |
| title_auth | Data science from scratch first principles with Python |
| title_exact_search | Data science from scratch first principles with Python |
| title_full | Data science from scratch first principles with Python Joel Grus |
| title_fullStr | Data science from scratch first principles with Python Joel Grus |
| title_full_unstemmed | Data science from scratch first principles with Python Joel Grus |
| title_short | Data science from scratch |
| title_sort | data science from scratch first principles with python |
| title_sub | first principles with Python |
| topic | Python (Computer program language) Database management Data structures (Computer science) Data mining Data mining Mathematics Data Mining Python (Langage de programmation) Bases de données ; Gestion Structures de données (Informatique) Exploration de données (Informatique) Exploration de données (Informatique) ; Mathématiques COMPUTERS ; Programming Languages ; Python Data mining ; Mathematics |
| topic_facet | Python (Computer program language) Database management Data structures (Computer science) Data mining Data mining Mathematics Data Mining Python (Langage de programmation) Bases de données ; Gestion Structures de données (Informatique) Exploration de données (Informatique) Exploration de données (Informatique) ; Mathématiques COMPUTERS ; Programming Languages ; Python Data mining ; Mathematics |
| work_keys_str_mv | AT grusjoel datasciencefromscratchfirstprincipleswithpython |