Doing Data Science: Straight talk from the frontline. (Record no. 1645)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01757nam a22001577a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789351103189 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Item number | SCH |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Schutt, Rachel |
| 245 ## - TITLE STATEMENT | |
| Title | Doing Data Science: Straight talk from the frontline. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | . |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Navi Mumbai |
| Name of publisher | O'Reilly |
| Year of publication | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxiv,375p. |
| 500 ## - GENERAL NOTE | |
| General note | Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know.<br/><br/>In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science.<br/><br/>Topics include:<br/><br/>Statistical inference, exploratory data analysis, and the data science process<br/>Algorithms<br/>Spam filters, Naive Bayes, and data wrangling<br/>Logistic regression<br/>Financial modeling<br/>Recommendation engines and causality<br/>Data visualization<br/>Social networks and data journalism<br/>Data engineering, MapReduce, Pregel, and Hadoop<br/>Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.<br/><br/>https://www.shroffpublishers.com/books/9789351103189/ |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | O'neil, Cathy |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Degree College Books |
| Withdrawn status | Lost status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Inventory number | Full call number | Accession Number | Cost, replacement price | Non-public note | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Book | Thakur Ramnarayan College of Arts and Commerce | Thakur Ramnarayan College of Arts and Commerce | Computer Science (B.Sc.) | 02/04/2021 | Medico's Book Aid | 880.00 | 13523/2020-21 | 006.3 SCH | SR2404 | 1100.00 | 20% | Degree College Books | Order By Asst. Prof. Sumeet Rathod | |||
| Book | Thakur Ramnarayan College of Arts and Commerce | Thakur Ramnarayan College of Arts and Commerce | Computer Science (B.Sc.) | 02/04/2021 | Medico's Book Aid | 880.00 | 13523/2020-21 | 006.3 SCH | SR2405 | 1100.00 | 20% | Degree College Books | Order By Asst. Prof. Sumeet Rathod | |||
| Book | Thakur Ramnarayan College of Arts and Commerce | Thakur Ramnarayan College of Arts and Commerce | Computer Science (B.Sc.) | 02/04/2021 | Medico's Book Aid | 880.00 | 13523/2020-21 | 006.3 SCH | SR2406 | 1100.00 | 20% | Degree College Books | Order By Asst. Prof. Sumeet Rathod |