Beginning artificial intelligence with the raspberry pi (Record no. 10184)
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| fixed length control field | a |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191125172827.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 191125b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484252154 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AIKTC-KRRC |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | ENG |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | DDC23 |
| Classification number | 006.3 |
| Item number | NOR |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Norris, Donald J. |
| 9 (RLIN) | 10641 |
| 245 ## - TITLE STATEMENT | |
| Title | Beginning artificial intelligence with the raspberry pi |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2017 |
| Place of publication, distribution, etc. | New York |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxi, 369p. |
| Other physical details | | Binding - Paperback | |
| Dimensions | 23.3*15.4 cm |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Gain a gentle introduction to the world of Artificial Intelligence (AI) using the Raspberry Pi as the computing platform. Most of the major AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action will be demonstrated using the Python language on the Raspberry Pi. The Prolog language will also be introduced and used to demonstrate fundamental AI concepts. In addition, the Wolfram language will be used as part of the deep machine learning demonstrations. A series of projects will walk you through how to implement AI concepts with the Raspberry Pi. Minimal expense is needed for the projects as only a few sensors and actuators will be required. Beginners and hobbyists can jump right in to creating AI projects with the Raspberry PI using this book. |
| Expansion of summary note | What You'll Learn What AI is and—as importantly—what it is not Inference and expert systems Machine learning both shallow and deep Fuzzy logic and how to apply to an actual control system When AI might be appropriate to include in a system Constraints and limitations of the Raspberry Pi AI implementation Who This Book Is For Hobbyists, makers, engineers involved in designing autonomous systems and wanting to gain an education in fundamental AI concepts, and non-technical readers who want to understand what AI is and how it might affect their lives. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| 9 (RLIN) | 4622 |
| Topical term or geographic name entry element | Computer Engineering |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://github.com/apress/beg-artificial-intelligence-w-raspberry-pi |
| Link text | Source Code |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Text Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Permanent Location | Current Location | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Cost, replacement price | Price effective from | Koha item type |
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| Circulation | Departmental Library - SOET | Departmental Library - SOET | General Stacks | 2019-11-25 | 2 | 919.20 | 1 | 006.3 NOR | E15148 | 2023-02-09 | 2023-02-01 | 1149.00 | 2019-11-25 | Text Books |