| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045839708 | |
| 005 | 20250325094130 | |
| 008 | 150730s2014 nyua b 001 0 eng d | |
| 020 | ▼a 1617291560 | |
| 020 | ▼a 9781617291562 | |
| 035 | ▼a (KERIS)BIB000013468167 | |
| 040 | ▼a 211014 ▼c 211014 ▼d 211009 | |
| 082 | 0 4 | ▼a 006.312 ▼2 23 |
| 084 | ▼a 006.312 ▼2 DDCK | |
| 090 | ▼a 006.312 ▼b Z94p | |
| 100 | 1 | ▼a Zumel, Nina ▼0 AUTH(211009)122823. |
| 245 | 1 0 | ▼a Practical data science with R / ▼c Nina Zumel, John Mount. |
| 260 | ▼a Shelter Island, N.Y. : ▼b Manning Publications Co, ▼c 2014. | |
| 300 | ▼a xxv, 389 p. : ▼b ill. ; ▼c 24 cm. | |
| 504 | ▼a Includes bibliographical references (p. 375-376) and index. | |
| 630 | 0 0 | ▼a R (Computer program language). |
| 650 | 0 | ▼a Mathematical statistics ▼x Data processing. |
| 700 | 1 | ▼a Mount, John ▼0 AUTH(211009)1740. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 006.312 Z94p | 등록번호 111739649 (6회 대출) | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
책소개
Summary
Practical Data Science with R lives up to its name. It explains basic principles without the theoretical mumbo-jumbo and jumps right to the real use cases you'll face as you collect, curate, and analyze the data crucial to the success of your business. You'll apply the R programming language and statistical analysis techniques to carefully explained examples based in marketing, business intelligence, and decision support.
Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
About the Book
Business analysts and developers are increasingly collecting, curating, analyzing, and reporting on crucial business data. The R language and its associated tools provide a straightforward way to tackle day-to-day data science tasks without a lot of academic theory or advanced mathematics.
Practical Data Science with R shows you how to apply the R programming language and useful statistical techniques to everyday business situations. Using examples from marketing, business intelligence, and decision support, it shows you how to design experiments (such as A/B tests), build predictive models, and present results to audiences of all levels.
This book is accessible to readers without a background in data science. Some familiarity with basic statistics, R, or another scripting language is assumed.
What's Inside
- Data science for the business professional
- Statistical analysis using the R language
- Project lifecycle, from planning to delivery
- Numerous instantly familiar use cases
- Keys to effective data presentations
About the Authors
Nina Zumel and John Mount are cofounders of a San Francisco-based data science consulting firm. Both hold PhDs from Carnegie Mellon and blog on statistics, probability, and computer science at win-vector.com.
Table of Contents
- The data science process
- Loading data into R
- Exploring data
- Managing data
- Choosing and evaluating models
- Memorization methods
- Linear and logistic regression
- Unsupervised methods
- Exploring advanced methods
- Documentation and deployment
- Producing effective presentations
PART 1 INTRODUCTION TO DATA SCIENCE
PART 2 MODELING METHODS
PART 3 DELIVERING RESULTS
정보제공 :
저자소개
존 마운트(지은이)
존 마운트는 생명 공학 분야의 컴퓨터 과학자이자 주식 거래 알고리즘 디자이너로 일했으며, Shopping.com의 연구 팀을 관리했다. 현재는 니나와 함께 Win-Vector LLC의 수석 컨설턴트로 일하고 있다.
니나 줌멜(지은이)
니나 줌멜은 독립적인 비영리 연구소 SRI International에서 과학자로 일했다. 또한, 가격 최적화 회사의 수석 과학자로 일했으며, 계약 연구 회사를 설립하기도 했었다. 현재는 Win-Vector LLC의 수석 컨설턴트로 일하고 있다.