| 000 -LEADER |
|---|
| fixed length control field |
01623 a2200241 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250902161146.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
250902b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| ISBN |
9789355422354 |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 PRO/A |
| 100 ## - MAIN ENTRY--AUTHOR NAME |
|---|
| Personal name |
Prosise, Jeff |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Applied machine learning and AI for engineers: solve business problems that can't be solved algorithmically |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher |
O'Reilly Media |
| Place of publication |
Sebastopol, CA |
| Year of publication |
c2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Number of Pages |
xx, 400p.; 23cm. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.<br/><br/>Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples.<br/><br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Computers science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Data science |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical Term |
Artificial intelligence |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Prosise, Adam (Forwarded) |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| Uniform Resource Identifier |
https://www.oreilly.com/library/view/applied-machine-learning/9781492098041/ |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Koha item type |
Book |
