Doing Data Science (Record no. 44157)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01884nam a2200217Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230310s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9789351103189 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.312 SCH |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Schutt, Rachel |
| 245 ## - TITLE STATEMENT | |
| Title | Doing Data Science |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | Mumbai |
| Name of publisher, distributor, etc | Shroff Publishers & Distributors Pvt. Ltd. |
| Date of publication, distribution, etc | 2013 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 375 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Big data |
| 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 | Database management |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Information visualization |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | O'Neil, Cathy |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
No items available.
