MARC details
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| fixed length control field |
02113nam a22002537a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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20221206143539.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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221206b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781484256770 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
650.0285 |
| Item number |
HOD |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hodeghatta, Umesh R |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Business analytics using R - a practical approach |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc. |
Apress |
| Place of publication, distribution, etc. |
Bangalore |
| Date of publication, distribution, etc. |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvii, 279 p. |
| 365 ## - TRADE PRICE |
|---|
| Price type code |
INR |
| Price amount |
749.00 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Overview of Business Analytics<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 1-15<br/>Introduction to R<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 17-36<br/>R for Data Analysis<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 37-58<br/>Introduction to descriptive analytics<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 59-89<br/>Business Analytics Process and Data Exploration<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 91-130<br/>Supervised Machine Learning—Classification<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 131-160<br/>Unsupervised Machine Learning<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 161-186<br/>Simple Linear Regression<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 187-205<br/>Multiple Linear Regression<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 207-231<br/>Logistic Regression<br/>Umesh R. Hodeghatta, Umesh Nayak<br/>Pages 233-255<br/>Big Data Analysis—Introduction and Future Trends |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
The book covers both descriptive analytics and predictive analytics. It also discusses business value and how analytics is linked to statistics, machine learning, and artificial intelligence. Most of the books in the market cover only statistics or regression whereas we cover complete analytics and its life cycle<br/><br/>This book explains the concepts backed by examples and case studies which are easy to understand and follow<br/><br/>This book offers the appropriate mix of theory and practice with relevant and useful examples |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Management information systems |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Business--Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Programming languages (Electronic computers) |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Umesha, Nayak |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |