MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02062nam a22002777a 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
sulb0076065 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
BD-SySUS |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20220724094709.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
220724s2020 nju 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780135565667 |
| Qualifying information |
(paperback) |
|
|---|
| Canceled/invalid ISBN |
9780135588383 |
| Qualifying information |
(epub) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
DLC |
| Modifying agency |
BD-SySUS |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
22 |
| Classification number |
006.31 |
| Item number |
ESI |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Esposito, Dino, |
| Relator term |
author. |
| 9 (RLIN) |
18682 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Introducing machine learning / |
| Statement of responsibility, etc. |
Dino Esposito, Francesco Esposito. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
1. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2002 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Hoboken : |
| Name of producer, publisher, distributor, manufacturer |
Pearson Education, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2020. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
pages cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Today, machine learning offers software professionals unparalleled opportunity for career growth. In Introducing Machine Learning, best-selling software development author, trainer, and consultant Dino Esposito offers a complete introduction to the field for programmers, architects, lead developers, and managers alike. Esposito begins by illuminating what's known about how humans and machines learn, introducing the most important classes of machine learning algorithms, and explaining what each of them can do. Esposito demystifies key concepts ranging from neural networks to supervised and unsupervised learning. Next, he explains each step needed to build a successful machine learning solution, from collecting and fine-tuning source data to building and testing your solution. Then, building on these essentials, he guides you through constructing two complete solutions with ML.NET, Microsoft's powerful open source and cross-platform machine learning framework. Step by step, you'll create systems for performing sentiment analysis on social feeds, and analyzing traffic to predict accidents. By the time you're finished, you'll be ready to participate in data science projects and build working solutions of your own"-- |
| Assigning source |
Provided by publisher. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Esposito, Francesco, |
| Relator term |
author. |
| 9 (RLIN) |
18682 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
