MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03104nam a2200409 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
8965 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
BD-DhEWU |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20190710122339.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190071r20182017ii a g 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1491962291 |
|
|---|
| International Standard Book Number |
9781491962299 |
|
|---|
| International Standard Book Number |
9789352135219 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)1106320674 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
YDXCP |
| Language of cataloging |
eng |
| Transcribing agency |
YDXCP |
| Description conventions |
rda |
| Modifying agency |
GP5 |
| -- |
DLC |
| -- |
BD-DhEWU |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
Q325.5 |
| Item number |
.G47 2017 |
| 080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER |
|---|
| Universal Decimal Classification number |
681.3 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
23 |
| Item number |
GEH 2018 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Geron, Aurelien. |
| 9 (RLIN) |
24568 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Hands-on machine learning with Scikit-Learn and TensorFlow : |
| Remainder of title |
concepts, tools, and techniques to build intelligent systems / |
| Statement of responsibility, etc |
Aurelien Geron. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New Delhi : |
| Name of publisher, distributor, etc |
Shroff Publishers and Distributors pvt. Ltd., |
| Date of publication, distribution, etc |
2017. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xx, 551 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
24 cm |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Includes index. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
TOC |
| Formatted contents note |
Preface Part I --<br/>The fundamentals of machine learning --<br/>The machine learning landscape --<br/>End-to-end machine learning project --<br/>Classification --<br/>Training models --<br/>Support vector machines --<br/>Decision trees --<br/>Ensemble learning and random forests --<br/>Dimensionality reduction Part II --<br/>Neural networks and deep learning --<br/>Up and running with TensorFlow --<br/>Introduction to artificial neural networks --<br/>Training deep neural nets --<br/>Distributing TensorFlow across devices and servers --<br/>Convolutional neural networks --<br/>Recurrent neural networks --<br/>Autoencoders --<br/>Reinforcement learning --<br/>Exercise solutions --<br/>Machine learning project checklist --<br/>SVM dual problem --<br/>Autodiff --<br/>Other popular ANN architectures --<br/>Index |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow--author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started" -- |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Program name |
CSE |
| Requested Dept. (EWU) |
CSE |
| 590 ## - LOCAL NOTE (RLIN) |
|---|
| Local note |
Sagar Shahanawaz |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| 9 (RLIN) |
2003 |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
| 9 (RLIN) |
24569 |
|
|---|
| Topical term or geographic name as entry element |
COMPUTERS / Computer Vision & Pattern Recognition. |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
24570 |
|
|---|
| Topical term or geographic name as entry element |
COMPUTERS / Data Processing. |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
24571 |
|
|---|
| Topical term or geographic name as entry element |
COMPUTERS / Intelligence (AI) & Semantics. |
| Source of heading or term |
bisacsh |
| 9 (RLIN) |
24572 |
|
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
| Source of heading or term |
fast |
| 9 (RLIN) |
24569 |
| 856 42 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Materials specified |
WorldCat Details |
| Uniform Resource Identifier |
https://www.worldcat.org/title/hands-on-machine-learning-with-scikit-learn-and-tensorflow-concepts-tools-and-techniques-to-build-intelligent-systems/oclc/1106320674&referer=brief_results |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Text |