Zero kara hajimeru dēta saiensu: Python de manabu kihon to jissen /
ゼロからはじめるデータサイエンス : Pythonで学ぶ基本と実践 /
"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. In this book, you'll learn how many of the most fundamental data science tools and algorith...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Electronic eBook |
| Language: | Japanese |
| Published: |
Tōkyō-to Shinjuku-ku
Orairī Japan
2020
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| Edition: | Dai 2-han. |
| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9784873119113/?ar |
| Summary: | "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. In this book, 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. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases." -- |
| Item Description: | Includes index. - Online resource; title from title details screen (O'Reilly, viewed April 20, 2022) |
| Physical Description: | 1 Online-Ressource (456 Seiten) |
| ISBN: | 9784873119113 4873119111 |
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| 520 | |a "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. In this book, 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. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases." -- | ||
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| spelling | Grus, Joel VerfasserIn aut Data science from scratch 880-01 Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / Joel Grus cho ; Kikuchi Akira yaku 880-02 Dai 2-han. 880-03 Tōkyō-to Shinjuku-ku Orairī Japan 2020 1 Online-Ressource (456 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from title details screen (O'Reilly, viewed April 20, 2022) "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. In this book, 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. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability--and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases." -- Data mining Statistical methods Mathematical statistics Database management Data structures (Computer science) Python (Computer program language) Bases de données ; Gestion Structures de données (Informatique) Python (Langage de programmation) Data mining ; Statistical methods Kikuchi, Akira ÜbersetzerIn trl 245-01/Chin ゼロからはじめるデータサイエンス : Pythonで学ぶ基本と実践 / Joel Grus著 ; 菊池彰訳. 250-02/Chin 第 2版. 264-03/Chin 東京都新宿区 オライリー・ジャパン 2020 |
| spellingShingle | Grus, Joel Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / Data mining Statistical methods Mathematical statistics Database management Data structures (Computer science) Python (Computer program language) Bases de données ; Gestion Structures de données (Informatique) Python (Langage de programmation) Data mining ; Statistical methods |
| title | Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / |
| title_alt | Data science from scratch |
| title_auth | Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / |
| title_exact_search | Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / |
| title_full | Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / Joel Grus cho ; Kikuchi Akira yaku |
| title_fullStr | Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / Joel Grus cho ; Kikuchi Akira yaku |
| title_full_unstemmed | Zero kara hajimeru dēta saiensu Python de manabu kihon to jissen / Joel Grus cho ; Kikuchi Akira yaku |
| title_short | Zero kara hajimeru dēta saiensu |
| title_sort | zero kara hajimeru deta saiensu python de manabu kihon to jissen |
| title_sub | Python de manabu kihon to jissen / |
| topic | Data mining Statistical methods Mathematical statistics Database management Data structures (Computer science) Python (Computer program language) Bases de données ; Gestion Structures de données (Informatique) Python (Langage de programmation) Data mining ; Statistical methods |
| topic_facet | Data mining Statistical methods Mathematical statistics Database management Data structures (Computer science) Python (Computer program language) Bases de données ; Gestion Structures de données (Informatique) Python (Langage de programmation) Data mining ; Statistical methods |
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