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Hands-On Unsupervised Learning Using Python (Record no. 542163)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02019nam a2200205Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240825s9999 xx 000 0 und d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9789352138128 |
| Paper back/Hardbound | pbk |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Item number | ANK |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Ankur A. Patel |
| 245 #0 - TITLE STATEMENT | |
| Title | Hands-On Unsupervised Learning Using Python |
| Statement of responsibility, etc | / Ankur A. Patel |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Year of publication | 2023 |
| Place of publication | Yokyo |
| Name of publisher | O'Reilly Media |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xix, 337 p, : |
| Other physical details | ill,; |
| Dimensions | 23 cm. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc | Includes index |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | Many industry experts consider unsupervised learning the next frontier in artificial intelligence, one that may hold the key to general artificial intelligence. Since the majority of the world's data is unlabeled, conventional supervised learning cannot be applied. Unsupervised learning, on the other hand, can be applied to unlabeled datasets to discover meaningful patterns buried deep in the data, patterns that may be near impossible for humans to uncover. Author Ankur Patel shows you how to apply unsupervised learning using two simple, production-ready Python frameworks: Scikit-learn and TensorFlow using Keras. With code and hands-on examples, data scientists will identify difficult-to-find patterns in data and gain deeper business insight, detect anomalies, perform automatic feature engineering and selection, and generate synthetic datasets. All you need is programming and some machine learning experience to get started. Compare the strengths and weaknesses of the different machine learning approaches: supervised, unsupervised, and reinforcement learning Set up and manage machine learning projects end-to-end Build an anomaly detection system to catch credit card fraud Clusters users into distinct and homogeneous groups Perform semisupervised learning Develop movie recommender systems using restricted Boltzmann machines Generate synthetic images using generative adversarial networks |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Computer Science Python (Computer program language) Python (Langage de programmation) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | English Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Full call number | Accession Number | Price effective from | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1400.00 | 006.31 ANK | 692167 | 17.06.2024 | English Books | |||||
| Anna Centenary Library | Anna Centenary Library | 3RD FLOOR, A WING | 17.06.2024 | 1400.00 | 006.31 ANK;1 | 692168 | 17.06.2024 | English Books | 1 |