Machine learning A-Z : (Record no. 20226)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01912nam a2200205Ia 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NULRC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250520102954.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250520s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781798130216 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | NULRC |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | Q 325.5 .B53 2019 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Black, Eddie |
| Relator term | author |
| 245 #0 - TITLE STATEMENT | |
| Title | Machine learning A-Z : |
| Remainder of title | introduction to AI digital brains of the future / |
| Statement of responsibility, etc. | Eddie Black |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | [Place of publication not identifed] : |
| Name of publisher, distributor, etc. | Independently published, |
| Date of publication, distribution, etc. | c2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 51 pages ; |
| Dimensions | 28 cm. |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 1. Part 1-Data Processing -- 2. Part 2.-Regression -- 3. Part 3.-Classification -- 4. Part 4. Clustering -- 5. Part 5. Association Rule Learning -- 6. Part 6. Reinforcement Learning -- 7. Part 7. Natural Language Processing -- 8. Part 8. Deep Learning -- 9. Part 9. Dimensionality Reduction -- 10. Part 10. Model Selection & Boosting. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Neural Network, Machine Learning, Deep Learning, Deep Neural Network, Artificial Neural Network, Recurrent/Convolutional/MLP.It all sounds very fancy but what does it really mean? How do I get a good basic understanding of these concepts? These questions i asked myself when i was new to the subject of Deep Learning. Everything seemed so complicated to me and as I was a complete beginner all the information I could find seemed to explain advanced mathematical equations that could as well have been written in Hieroglyphs as far as i was concerned. As I progressively learned how things related to each other, and how to understand the terminology used in the subject I realised the explanations could be simplified a lot to be much easier to grasp, just with some overall structure that anyone could understand. The goal of this book is to clarify some uncertainties and give you a solid foundation to be able to dig deeper into this incredibly exciting area of computer science. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | DATA PROCESSING |
| 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 | Collection | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Library of Congress Classification | Machine Learning | LRC - Main | National University - Manila | General Circulation | 09/08/2020 | Purchased - Amazon | 26.00 | GC Q 325.5 .B53 2019 c.1 | NULIB000017985 | 05/20/2025 | c.1 | 05/20/2025 | Books |