Foundations of statistics for data scientists: (Record no. 10800)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02026nam a22002177a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240924b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780367748456 (hb.) |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.50285536 |
| Item number | AGR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Agresti, Alan |
| 245 ## - TITLE STATEMENT | |
| Title | Foundations of statistics for data scientists: |
| Remainder of title | with R and Python |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | Boca Raton |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xvii, 467p. |
| 500 ## - GENERAL NOTE | |
| General note | https://www.routledge.com/Foundations-of-Statistics-for-Data-Scientists-With-R-and-Python/Agresti-Kateri/p/book/9780367748456?srsltid=AfmBOoqd7kNzZMKD4vRkjMaiF |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | "Foundations of Statistics for Data Scientists: With R and Python is designed as a textbook for a one- or two-term introduction to mathematical statistics for students training to become data scientists. It is an in-depth presentation of the topics in statistical science with which any data scientist should be familiar, including probability distributions, descriptive and inferential statistical methods, and linear modeling. The book assumes knowledge of basic calculus, so the presentation can focus on ""why it works"" as well as ""how to do it."" Compared to traditional ""mathematical statistics"" textbooks, however, the book has less emphasis on probability theory and more emphasis on using software to implement statistical methods and to conduct simulations to illustrate key concepts. All statistical analyses in the book use R software, with an appendix showing the same analyses with Python.<br/><br/>Key Features:<br/><br/>Shows the elements of statistical science that are important for students who plan to become data scientists.<br/>Includes Bayesian and regularized fitting of models (e.g., showing an example using the lasso), classification and clustering, and implementing methods with modern software (R and Python).<br/>Contains nearly 500 exercises." |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Programming Languages |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Statistical Methods |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Quantitative Research |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Kateri, Maria |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| 509 ## - INFORMAL NOTES (RLIN) | |
| Informal Notes( Indenter) | Nandini Kannan |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 6495 |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 1799 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| 9 (RLIN) | 12164 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | bill no. | bill date | Home library | Current library | Date acquired | Source of acquisition | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Not For Loan | Mathematics | IN-158 | 19/09/2024 | Plaksha University Library | Plaksha University Library | 24/09/2024 | Amazon.in | 519.50285536 AGR | 005093 | 24/09/2024 | 24/09/2024 | Book | ||||
| Dewey Decimal Classification | Not For Loan | Mathematics | IN-158 | 19/09/2024 | Plaksha University Library | Plaksha University Library | 24/09/2024 | Amazon.in | 519.50285536 AGR | 005094 | 24/09/2024 | 24/09/2024 | Book | ||||
| Dewey Decimal Classification | Mathematics | IN-158 | 19/09/2024 | Plaksha University Library | Plaksha University Library | 24/09/2024 | Amazon.in | 519.50285536 AGR | 005095 | 24/09/2024 | 24/09/2024 | Book |