MARC details
| 000 -LEADER |
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| fixed length control field |
03419cmm a2200361 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
46898 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IN-BdCUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20230426175604.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
230426s2023 u eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781498742115 |
| 040 ## - CATALOGING SOURCE |
|---|
| Language of cataloging |
eng |
| Transcribing agency |
IN-BdCUP |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.3/12 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Rogel-Salazar, Jesus |
| Relator term |
Author |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Data Science and Analytics with Python / |
| Statement of responsibility, etc. |
by Jesus Rogel-Salazar |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First edition |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Boca Raton, FL : |
| Name of publisher, distributor, etc. |
Chapman and Hall/CRC, |
| Date of publication, distribution, etc. |
2018 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
1 online resource (400 pages) |
| 503 ## - BIBLIOGRAPHIC HISTORY NOTE (BK CF MU) [OBSOLETE] |
|---|
| Bibliographic history note |
Includes bibliographical references and index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python, such as SciKit-learn, Pandas, Numpy, and others. The use of Python is of particular interest, given its recent popularity in the data science community. The book can be used by seasoned programmers and newcomers alike. The book is organized in a way that individual chapters are sufficiently independent from each other so that the reader is comfortable using the contents as a reference. The book discusses what data science and analytics are, from the point of view of the process and results obtained. Important features of Python are also covered, including a Python primer. The basic elements of machine learning, pattern recognition, and artificial intelligence that underpin the algorithms and implementations used in the rest of the book also appear in the first part of the book. Regression analysis using Python, clustering techniques, and classification algorithms are covered in the second part of the book. Hierarchical clustering, decision trees, and ensemble techniques are also explored, along with dimensionality reduction techniques and recommendation systems. The support vector machine algorithm and the Kernel trick are discussed in the last part of the book. About the Author - Dr. Jes??s Rogel-Salazar is a Lead Data scientist with experience in the field working for companies such as AKQA, IBM Data Science Studio, Dow Jones and others. He is a visiting researcher at the Department of Physics at Imperial College London, UK and a member of the School of Physics, Astronomy and Mathematics at the University of Hertfordshire, UK, He obtained his doctorate in physics at Imperial College London for work on quantum atom optics and ultra-cold matter. He has held a position as senior lecturer in mathematics as well as a consultant in the financial industry since 2006. He is the author of the book Essential Matlab and Octave, also published by CRC Press. His interests include mathematical modelling, data science, and optimization in a wide range of applications including optics, quantum mechanics, data journalism, and finance |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Data mining |
|
|---|
| Topical term or geographic name entry element |
Python |
|
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| Topical term or geographic name entry element |
Computers |
|
|---|
| Topical term or geographic name entry element |
Databases |
|
|---|
| Topical term or geographic name entry element |
Python (Computer program language) |
|
|---|
| Topical term or geographic name entry element |
COMPUTERS--Programming Languages--General |
|
|---|
| Topical term or geographic name entry element |
MATHEMATICS--General |
|
|---|
| Topical term or geographic name entry element |
Datenanalyse |
|
|---|
| Topical term or geographic name entry element |
Exploration de donn??es |
|
|---|
| Topical term or geographic name entry element |
Python (langage de programmation) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
Electronic Book Resource |
| Uniform Resource Identifier |
<a href="https://www.taylorfrancis.com/books/9781498742115">https://www.taylorfrancis.com/books/9781498742115</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
E-Book |