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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Japonés Inglés |
| Publicado: |
Tōkyō-to Shinjuku-ku :
Orairī Japan,
2020.
|
| Edición: | Dai 2-han. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a22000007i 4500 | ||
|---|---|---|---|
| 001 | OR_on1311494956 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr cnu|||unuuu | ||
| 008 | 220420s2020 ja o 000 0 jpn d | ||
| 040 | |a ORMDA |b eng |e rda |e pn |c ORMDA |d ORMDA |d OCLCO |d OCLCF |d OCLCQ |d OCLCO | ||
| 066 | |c $1 | ||
| 020 | |a 9784873119113 |q (electronic bk.) | ||
| 020 | |a 4873119111 |q (electronic bk.) | ||
| 029 | 1 | |a AU@ |b 000071968856 | |
| 035 | |a (OCoLC)1311494956 | ||
| 037 | |a 9784873119113 |b O'Reilly Media | ||
| 041 | 1 | |a jpn |h eng | |
| 050 | 4 | |a QA76.9.D343 | |
| 082 | 0 | 4 | |a 006.3/12 |2 23/eng/20220420 |
| 049 | |a UAMI | ||
| 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 | ||
| 588 | 0 | |a Online resource; title from title details screen (O'Reilly, viewed April 20, 2022). | |
| 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Data mining |x Statistical methods. | |
| 650 | 0 | |a Mathematical statistics. | |
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Data structures (Computer science) | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 6 | |a Structures de données (Informatique) | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 7 | |a Data mining |x Statistical methods |2 fast | |
| 650 | 7 | |a Data structures (Computer science) |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 650 | 7 | |a Mathematical statistics |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 700 | 1 | |6 880-04 |a Kikuchi, Akira |c (Employee of Nihon Ai Bī Emu Kabushiki Kaisha), |e translator. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9784873119113/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 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 IZTAP | ||