Zero kara hajimeru dēta saiensu : Python de manabu kihon to jissen
Description
Loading Description...
More Details
Format
Edition
Dai 2-han.
Language
Japanese
ISBN
9784873119113, 4873119111
Notes
General Note
Includes index.
Description
"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." --,Provided by publisher.
Local note
O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
Also in this Series
Checking series information...
Reviews from GoodReads
Loading GoodReads Reviews.
Citations
APA Citation, 7th Edition (style guide)
Grus, J., & Kikuchi, A. (. o. N. A. B. E. K. K. (2020). Zero kara hajimeru dēta saiensu: Python de manabu kihon to jissen (Dai 2-han.). Orairī Japan.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Grus, Joel and Akira (Employee of Nihon Ai Bī Emu Kabushiki Kaisha), Kikuchi. 2020. Zero Kara Hajimeru Dēta Saiensu: Python De Manabu Kihon to Jissen. Tōkyō-to Shinjuku-ku: Orairī Japan.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Grus, Joel and Akira (Employee of Nihon Ai Bī Emu Kabushiki Kaisha), Kikuchi. Zero Kara Hajimeru Dēta Saiensu: Python De Manabu Kihon to Jissen Tōkyō-to Shinjuku-ku: Orairī Japan, 2020.
Harvard Citation (style guide)Grus, J. and Kikuchi, A. (. o. N. A. B. E. K. K. (2020). Zero kara hajimeru dēta saiensu: python de manabu kihon to jissen. Dai 2-han. Tōkyō-to Shinjuku-ku: Orairī Japan.
MLA Citation, 9th Edition (style guide)Grus, Joel,, and Akira (Employee of Nihon Ai Bī Emu Kabushiki Kaisha) Kikuchi. Zero Kara Hajimeru Dēta Saiensu: Python De Manabu Kihon to Jissen Dai 2-han., Orairī Japan, 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
2b8e717c-1562-e514-aa40-7e077f165fcf-jpn
Grouping Information
| Grouped Work ID | 2b8e717c-1562-e514-aa40-7e077f165fcf-jpn |
|---|---|
| Full title | zero kara hajimeru dēta saiensu python de manabu kihon to jissen |
| Author | grus joel |
| Grouping Category | book |
| Last Update | 2024-10-08 10:55:34AM |
| Last Indexed | 2024-12-03 03:06:59AM |
Book Cover Information
| Image Source | default |
|---|---|
| First Loaded | Aug 5, 2023 |
| Last Used | Nov 29, 2024 |
Marc Record
| First Detected | Mar 14, 2023 03:20:02 PM |
|---|---|
| Last File Modification Time | May 12, 2023 07:54:42 AM |
| Suppressed | Record had no items |
MARC Record
| LEADER | 04390cam a22005417i 4500 | ||
|---|---|---|---|
| 001 | on1311494956 | ||
| 003 | OCoLC | ||
| 005 | 20230512075418.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 220420s2020 ja o 000 0 jpn d | ||
| 020 | |a 9784873119113|q (electronic bk.) | ||
| 020 | |a 4873119111|q (electronic bk.) | ||
| 035 | |a (OCoLC)1311494956 | ||
| 037 | |a 9784873119113|b O'Reilly Media | ||
| 040 | |a ORMDA|b eng|e rda|e pn|c ORMDA|d ORMDA|d OCLCO|d OCLCF|d OCLCQ | ||
| 041 | 1 | |a jpn|h eng | |
| 049 | |a MAIN | ||
| 050 | 4 | |a QA76.9.D343 | |
| 066 | |c $1 | ||
| 082 | 0 | 4 | |a 006.3/12|2 23/eng/20220420 |
| 100 | 1 | |a Grus, Joel,|e author. | |
| 240 | 1 | 0 | |a Data science from scratch.|l Japanese |
| 245 | 1 | 0 | |6 880-01|a Zero kara hajimeru dēta saiensu :|b Python de manabu kihon to jissen /|c Joel Grus cho ; Kikuchi Akira yaku. |
| 250 | |6 880-02|a Dai 2-han. | ||
| 264 | 1 | |6 880-03|a Tōkyō-to Shinjuku-ku :|b Orairī Japan,|c 2020. | |
| 300 | |a 1 online resource (456 pages) | ||
| 336 | |a text|b txt|2 rdacontent | ||
| 337 | |a computer|b c|2 rdamedia | ||
| 338 | |a online resource|b cr|2 rdacarrier | ||
| 500 | |a Includes index. | ||
| 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." --|c Provided by publisher. | ||
| 588 | 0 | |a Online resource; title from title details screen (O'Reilly, viewed April 20, 2022). | |
| 590 | |a O'Reilly|b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining|x Statistical methods.|9 440316 | |
| 650 | 0 | |a Mathematical statistics.|9 46678 | |
| 650 | 0 | |a Database management.|9 35533 | |
| 650 | 0 | |a Data structures (Computer science)|9 35539 | |
| 650 | 0 | |a Python (Computer program language)|9 71333 | |
| 700 | 1 | |6 880-04|a Kikuchi, Akira|c (Employee of Nihon Ai Bī Emu Kabushiki Kaisha),|e translator. | |
| 856 | 4 | 0 | |u https://library.access.arlingtonva.us/login?url=https://learning.oreilly.com/library/view/~/9784873119113/?ar|x O'Reilly|z eBook |
| 880 | 1 | 0 | |6 245-01/$1|a ゼロからはじめるデータサイエンス :|b Pythonで学ぶ基本と実践 /|c Joel Grus著 ; 菊池彰訳. |
| 880 | |6 250-02/$1|a 第 2版. | ||
| 880 | 1 | |6 264-03/$1|a 東京都新宿区 :|b オライリー・ジャパン,|c 2020. | |
| 880 | |6 520-00/$1|a "本書はPythonプログラミングを通してデータサイエンスの基本知識を「ゼロから学ぶ」ことができる入門書です。読者は架空のソーシャルネットワーク運営企業、データサイエンス・スター社のデータサイエンティストとして、さまざまな課題を解決しながら、必要な知識とスキルを着実に積み上げていきます。Pythonプログラミングの基礎から線形代数、統計確率の基礎、回帰、機械学習、ナイーブベイズ、決定木、ニューラルネットワーク、ディープラーニング、自然言語処理、ネットワーク分析、リコメンドシステム、データベースとSQL、MapReduce、データ倫理まで、データサイエンスに必要な幅広い知識をカバーします。" --|c Provided by publisher. | ||
| 880 | 1 | |6 700-04/$1|a 菊池彰|c (Employee of Nihon Ai Bī Emu Kabushiki Kaisha),|e translator. | |
| 994 | |a 92|b VIA | ||
| 999 | |c 282625|d 282625 | ||