Practical simulations for machine learning : (Record no. 2463)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02942cam a2200409 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 23049322 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KWUST |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230824115443.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230405t20222022caua b 001 0 eng d |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER | |
| LC control number | 2023275149 |
| 015 ## - NATIONAL BIBLIOGRAPHY NUMBER | |
| National bibliography number | GBC290577 |
| Source | bnb |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781492089926 |
| Qualifying information | (pbk.) |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)on1328008121 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UKMGB |
| Language of cataloging | eng |
| Transcribing agency | KWUST |
| Description conventions | rda |
| Modifying agency | BDX |
| -- | OCLCF |
| -- | CDX |
| -- | NVC |
| -- | DLC |
| 042 ## - AUTHENTICATION CODE | |
| Authentication code | lccopycat |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q325.5.B87 2022 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Buttfield-Addison, Paris, |
| Relator term | author. |
| 245 10 - TITLE STATEMENT | |
| Title | Practical simulations for machine learning : |
| Remainder of title | using synthetic data for AI / |
| Statement of responsibility, etc. | Paris and Mars Buttfield-Addison, Tim Nugent, and Jon Manning. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Sebastopol, CA : |
| Name of producer, publisher, distributor, manufacturer | O'Reilly Media, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xv, 313 pages : |
| Other physical details | illustrations ; |
| Dimensions | 24 cm |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 336 ## - CONTENT TYPE | |
| Content type term | still image |
| Content type code | sti |
| 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 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Simulation and synthesis are core parts of the future of AI and machine learning. Consider: programmers, data scientists, and machine learning engineers can create the brain of a self-driving car without the car. Rather than use information from the real world, you can create artificial data using simulations to train traditional machine learning models. That's just the beginning. With this practical book, you'll explore the possibilities of simulation- and synthesis-based machine learning and AI, with a focus on deep reinforcement learning and imitation learning techniques. AI and ML are increasingly data driven, and simulations are a powerful, engaging way to unlock their full potential. With this deeply practical book, you'll learn how to: Design an approach for solving ML and AI problems using simulations Use a game engine to synthesize images for use as training data Create simulation environments designed for training deep reinforcement learning and imitation learning Use and apply efficient general-purpose algorithms for simulation-based ML, such as proximal policy optimization (PPO) and soft actor-critic (SAO) Train ML models locally, concurrently, and in the cloud Use PyTorch, TensorFlow, the Unity ML-Agents and Perception Toolkits to enable ML tools to work with industry-standard game development tools. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Machine learning |
| General subdivision | Computer simulation. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| General subdivision | Computer simulation. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence |
| General subdivision | Computer simulation. |
| Source of heading or term | fast |
| Authority record control number or standard number | (OCoLC)fst00817253 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Buttfield-Addison, Mars, |
| Relator term | author. |
| Real World Object URI | https://isni.org/isni/0000000119044669 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nugent, Tim, |
| Relator term | author. |
| Real World Object URI | https://isni.org/isni/0000000434716760 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Manning, Jon, |
| Relator term | author. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
| a | 7 |
| b | cbc |
| c | copycat |
| d | 2 |
| e | ncip |
| f | 20 |
| g | y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Library of Congress Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Date last checked out | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | KWUST-Main Library | KWUST-Main Library | General Stacks | 08/24/2023 | 982/08-23 | 1 | Q325.5.B87 2022 | 2023-0820 | 04/10/2025 | 03/24/2025 | C.1 | 08/24/2023 | Books | ||||
| Library of Congress Classification | KWUST-Main Library | KWUST-Main Library | General Stacks | 08/24/2023 | 983/08-23 | Q325.5.B87 2022 | 2023-0821 | 08/24/2023 | C.2 | 08/24/2023 | Books |