Machine Learning for Mobile : (Record no. 1911)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02936nam a2200241Ia 4500 |
| 001 - CONTROL NUMBER | |
| control field | 41615 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BdCUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20230421153808.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 230413s9999 000 0 eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781788629355 |
| 040 ## - CATALOGING SOURCE | |
| Language of cataloging | eng |
| Transcribing agency | IN-BdCUP |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.3 |
| Item number | GOP |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Gopalakrishnan, Revathi |
| 245 #0 - TITLE STATEMENT | |
| Title | Machine Learning for Mobile : |
| Remainder of title | Practical guide to building intelligent mobile applications powered by machine learning / |
| Statement of responsibility, etc. | Gopalakrishnan, Revathi & Avinash Venkateswarlu |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Burmingham : |
| Name of publisher, distributor, etc. | Packet Publishing, |
| Date of publication, distribution, etc. | 2018. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 274 p. ; |
| Dimensions | 24 cm. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease Key Features Build smart mobile applications for Android and iOS devices Use popular machine learning toolkits such as Core ML and TensorFlow Lite Explore cloud services for machine learning that can be used in mobile apps Book Description Machine learning presents an entirely unique opportunity in software development. It allows smartphones to produce an enormous amount of useful data that can be mined, analyzed, and used to make predictions. This book will help you master machine learning for mobile devices with easy-to-follow, practical examples. You will begin with an introduction to machine learning on mobiles and grasp the fundamentals so you become well-acquainted with the subject. You will master supervised and unsupervised learning algorithms, and then learn how to build a machine learning model using mobile-based libraries such as Core ML, TensorFlow Lite, ML Kit, and Fritz on Android and iOS platforms. In doing so, you will also tackle some common and not-so-common machine learning problems with regard to Computer Vision and other real-world domains. By the end of this book, you will have explored machine learning in depth and implemented on-device machine learning with ease, thereby gaining a thorough understanding of how to run, create, and build real-time machine-learning applications on your mobile devices. What you will learn Build intelligent machine learning models that run on Android and iOS Use machine learning toolkits such as Core ML, TensorFlow Lite, and more Learn how to use Google Mobile Vision in your mobile apps Build a spam message detection system using Linear SVM Using Core ML to implement a regression model for iOS devices Build image classification systems using TensorFlow Lite and Core ML Who this book is for If you are a mobile app developer or a machine learning enthusiast keen to use machine learning to build smart mobile applications, this book is for you. Some experience with mobile application development is all you need to get started with this book. Prior experience with machine learning will be an added bonus |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computers |
| Topical term or geographic name entry element | Machine Learning for Mobile |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Avinash Venkateswarlu |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Bill number | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Actual Cost, replacement price | Bill Date | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Ranganathan Library | Ranganathan Library | 18/03/2020 | K. K. Distributors, Delhi | 899.00 | 4113 | 005.3 GOP | 038235 | 13/04/2023 | Copy 1 | 764.50 | 02/02/2020 | Book | |||||
| Dewey Decimal Classification | Ranganathan Library | Ranganathan Library | 18/03/2020 | K. K. Distributors, Delhi | 899.00 | 4113 | 005.3 GOP | 038236 | 13/04/2023 | Copy 2 | 764.50 | 02/02/2020 | Book | |||||
| Dewey Decimal Classification | Ranganathan Library | Ranganathan Library | 18/03/2020 | K. K. Distributors, Delhi | 899.00 | 4113 | 005.3 GOP | 038237 | 13/04/2023 | Copy 3 | 630.00 | 02/02/2020 | Book |