MARC details
000 -LEADER |
fixed length control field |
04810nam a22007095i 4500 |
001 - CONTROL NUMBER |
control field |
36614 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
BD-DhAAL |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20191208162458.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
191118t2017 gw | o |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319554433 (print) |
|
International Standard Book Number |
9783319554440 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-3-319-55444-0 |
Source of number or code |
doi |
035 ## - SYSTEM CONTROL NUMBER |
System control number |
(WaSeSS)OCM1ssj0001846412 |
|
System control number |
10029592 |
|
System control number |
(OCoLC)992989152 |
040 ## - CATALOGING SOURCE |
Modifying agency |
WaSeSS |
Language of cataloging |
eng |
Modifying agency |
NIC |
-- |
BD-DhAAL |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.9.D343 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM021030 |
Source |
bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.312 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Skiena, Steven S. |
9 (RLIN) |
37243 |
245 14 - TITLE STATEMENT |
Title |
The Data Science Design Manual / |
Statement of responsibility, etc |
Steven S. Skiena. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc |
Cham, Switzerland : |
Name of publisher, distributor, etc |
Springer, |
Date of publication, distribution, etc |
c2017 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xvii, 445 pages : |
Other physical details |
illustrations ; |
Dimensions |
24 cm |
490 1# - SERIES STATEMENT |
Series statement |
Texts in Computer Science, |
International Standard Serial Number |
1868-0941 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
What is Data Science? -- Mathematical Preliminaries -- Data Munging -- Scores and Rankings -- Statistical Analysis -- Visualizing Data -- Mathematical Models -- Linear Algebra -- Linear and Logistic Regression -- Distance and Network Methods -- Machine Learning -- Big Data: Achieving Scale. |
506 ## - RESTRICTIONS ON ACCESS NOTE |
Terms governing access |
License restrictions may limit access. |
520 ## - SUMMARY, ETC. |
Summary, etc |
This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an (3)4z(BIntroduction to Data Science(3)4y (Bcourse. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains (3)4z(BWar Stories,(3)4y (Boffering perspectives on how data science applies in the real world Includes (3)4z(BHomework Problems,(3)4y (Bproviding a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides (3)4z(BTake-Home Lessons,(3)4y (Bemphasizing the big-picture concepts to learn from each chapter Recommends exciting (3)4z(BKaggle Challenges(3)4y (Bfrom the online platform Kaggle Highlights (3)4z(BFalse Starts,(3)4y (Brevealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show (3)4z(BThe Quant Shop(3)4y ((Bwww.quant-shop.com). |
526 ## - STUDY PROGRAM INFORMATION NOTE |
Program name |
CSE |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science. |
9 (RLIN) |
37244 |
|
Topical term or geographic name as entry element |
Big data. |
9 (RLIN) |
37245 |
|
Topical term or geographic name as entry element |
Data mining. |
9 (RLIN) |
37246 |
|
Topical term or geographic name as entry element |
Pattern recognition. |
9 (RLIN) |
37247 |
|
Topical term or geographic name as entry element |
Mathematics. |
9 (RLIN) |
37248 |
|
Topical term or geographic name as entry element |
Visualization. |
9 (RLIN) |
37249 |
|
Topical term or geographic name as entry element |
Statistics. |
9 (RLIN) |
37250 |
|
Topical term or geographic name as entry element |
Computer Science. |
9 (RLIN) |
37251 |
|
Topical term or geographic name as entry element |
Data Mining and Knowledge Discovery. |
9 (RLIN) |
37252 |
|
Topical term or geographic name as entry element |
Pattern Recognition. |
9 (RLIN) |
37253 |
|
Topical term or geographic name as entry element |
Big Data/Analytics. |
9 (RLIN) |
37254 |
|
Topical term or geographic name as entry element |
Visualization. |
9 (RLIN) |
37249 |
|
Topical term or geographic name as entry element |
Statistics and Computing/Statistics Programs. |
9 (RLIN) |
37255 |
|
Topical term or geographic name as entry element |
Mathematical statistics |
General subdivision |
Data processing. |
Source of heading or term |
fast |
9 (RLIN) |
37256 |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
9 (RLIN) |
37257 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Texts in Computer Science, |
9 (RLIN) |
37258 |
852 ## - LOCATION/CALL NUMBER |
Location |
Ayesha Abed Library |
Shelving location |
General Stacks |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Item type |
Book |