MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01573nam a2200217Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250520102950.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9783030053178 |
| 040 ## - CATALOGING SOURCE |
|---|
| Transcribing agency |
NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q 325.5 .A98 2019 |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Automated machine learning : |
| Remainder of title |
methods, systems, challenges / |
| Statement of responsibility, etc. |
edited by Frank Hutter, Lars Kotthoff, and Joaquin Vanschoren |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Switzerland : |
| Name of publisher, distributor, etc. |
Springer, |
| Date of publication, distribution, etc. |
c2019 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiv, 219 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Part I : AutoML methods -- 1. Hyperparameter optimization -- 2. Meta-learning -- 3. Neural architecture search -- Part II : AutoML systems -- 4. Auto-WEKA : automatic model selection and hyperparameter optimization in WEKA -- 5. Hyperopt-sklearn -- 6. Auto-sklearn : efficient and robust automated machine learning -- 7. Towards automatically-tuned deep neural networks -- 8. TPOT : A Tree-based pipeline optimization tool for automating machine learning -- 9. The Automatic statistician -- Part II : AutoML challenges -- 10. Analysis of the autoML challenge series 2015-2018 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
This open access book presents the first comprehensive overview of general methods in autmated machine learning (AutoML), collects descriptions of existing systems based on these methiods, and discusses the first series of international challenges of AutoML systems. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
ARTIFICIAL INTELLIGENCE |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hutter, Frank ;Kotthoff, Lars;Vanschoren, Joaquin |
| Relator term |
editor;co-editor;co-editor |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Books |
