MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02342nam a2200313Ia 4500 |
| 000 - LEADER |
|---|
| fixed length control field |
07647nam a22003495i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
978-3-031-39129-3 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240319121147.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
|---|
| fixed length control field |
cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231110s2023 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783031391293 |
| -- |
978-3-031-39129-3 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
5.7 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cuadrado-Gallego, Juan J. |
| 9 (RLIN) |
39835 |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Data Analytics |
| Statement of responsibility, etc. |
by Juan J. Cuadrado-Gallego, Yuri Demchenko. |
| Medium |
[electronic resource] : |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1st ed. 2023. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cham |
| Name of publisher, distributor, etc. |
Springer International Publishing |
| Date of publication, distribution, etc. |
2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
XIII, 477 p. 107 illus., 43 illus. in color. |
| Other physical details |
online resource. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Building upon the knowledge introduced in The Data Science Framework, this book provides a comprehensive and detailed examination of each aspect of Data Analytics, both from a theoretical and practical standpoint. The book explains representative algorithms associated with different techniques, from their theoretical foundations to their implementation and use with software tools. Designed as a textbook for a Data Analytics Fundamentals course, it is divided into seven chapters to correspond with 16 weeks of lessons, including both theoretical and practical exercises. Each chapter is dedicated to a lesson, allowing readers to dive deep into each topic with detailed explanations and examples. Readers will learn the theoretical concepts and then immediately apply them to practical exercises to reinforce their knowledge. And in the lab sessions, readers will learn the ins and outs of the R environment and data science methodology to solve exercises with the R language. With detailed solutions provided for all examples and exercises, readers can use this book to study and master data analytics on their own. Whether you're a student, professional, or simply curious about data analytics, this book is a must-have for anyone looking to expand their knowledge in this exciting field. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Artificial intelligence |
| 9 (RLIN) |
39836 |
|
|---|
| Topical term or geographic name entry element |
Data Analysis and Big Data. |
| 9 (RLIN) |
39837 |
|
|---|
| Topical term or geographic name entry element |
Data Science. |
| 9 (RLIN) |
39838 |
|
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 9 (RLIN) |
39839 |
|
|---|
| Topical term or geographic name entry element |
Machine Learning. |
| 9 (RLIN) |
39840 |
|
|---|
| Topical term or geographic name entry element |
Quantitative research. |
| 9 (RLIN) |
39841 |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Demchenko, Yuri. |
| 9 (RLIN) |
39842 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
<a href="https://doi.org/10.1007/978-3-031-39129-3">https://doi.org/10.1007/978-3-031-39129-3</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
e-Book |
| Source of classification or shelving scheme |
Dewey Decimal Classification |
