Angular and Machine Learning Pocket Primer / / Oswald Campesato.
As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview...
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| VerfasserIn: | |
|---|---|
| Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2020] ©2020 |
| Year of Publication: | 2020 |
| Language: | English |
| Series: | Pocket Primer
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| Online Access: | |
| Physical Description: | 1 online resource (262 p.) |
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| LEADER | 03129nam a22006255i 4500 | ||
|---|---|---|---|
| 001 | 9781683924685 | ||
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| 100 | 1 | |a Campesato, Oswald, |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Angular and Machine Learning Pocket Primer / |c Oswald Campesato. |
| 264 | 1 | |a Dulles, VA : |b Mercury Learning and Information, |c [2020] | |
| 264 | 4 | |c ©2020 | |
| 300 | |a 1 online resource (262 p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 0 | |a Pocket Primer | |
| 505 | 0 | 0 | |t Frontmatter -- |t Contents -- |t Preface -- |t 1. Quick Introduction to Angular -- |t 2. UI Controls, User Input, and Pipes -- |t 3. Forms and Services -- |t 4. Intro to Machine Learning -- |t 5. Working with Classifiers -- |t 6. Angular and TensorFlow.js -- |t Introduction to Keras -- |t Index |
| 506 | 0 | |a restricted access |u http://purl.org/coar/access_right/c_16ec |f online access with authorization |2 star | |
| 520 | |a As part of the best-selling Pocket Primer series, this book is designed to introduce the reader to basic machine learning concepts and incorporate that knowledge into Angular applications. The book is intended to be a fast-paced introduction to some basic features of machine learning and an overview of several popular machine learning classifiers. It includes code samples and numerous figures and covers topics such as Angular functionality, basic machine learning concepts, classification algorithms, TensorFlow and Keras. The files with code and color figures are on the companion disc with the book or available from the publisher. Features:Introduces the basic machine learning concepts and Angular applicationsIncludes source code and full color figures | ||
| 530 | |a Issued also in print. | ||
| 538 | |a Mode of access: Internet via World Wide Web. | ||
| 546 | |a In English. | ||
| 588 | 0 | |a Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Aug 2023) | |
| 650 | 4 | |a Artificial Intelligence. | |
| 650 | 4 | |a Programming. | |
| 650 | 7 | |a COMPUTERS / Social Aspects / Human-Computer Interaction. |2 bisacsh | |
| 776 | 0 | |c EPUB |z 9781683924692 | |
| 776 | 0 | |c print |z 9781683924708 | |
| 856 | 4 | 0 | |u https://www.degruyter.com/isbn/9781683924685 |
| 856 | 4 | 2 | |3 Cover |u https://www.degruyter.com/document/cover/isbn/9781683924685/original |
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