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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Place / Publishing House: | Dulles, VA : : Mercury Learning and Information, , [2020] ©2020 |
Year of Publication: | 2020 |
Language: | English |
Series: | Pocket Primer
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Physical Description: | 1 online resource (262 p.) |
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Campesato, Oswald, author. aut http://id.loc.gov/vocabulary/relators/aut Angular and Machine Learning Pocket Primer / Oswald Campesato. Dulles, VA : Mercury Learning and Information, [2020] ©2020 1 online resource (262 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Pocket Primer Frontmatter -- Contents -- Preface -- 1. Quick Introduction to Angular -- 2. UI Controls, User Input, and Pipes -- 3. Forms and Services -- 4. Intro to Machine Learning -- 5. Working with Classifiers -- 6. Angular and TensorFlow.js -- Introduction to Keras -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star 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 Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 08. Aug 2023) Artificial Intelligence. Programming. COMPUTERS / Social Aspects / Human-Computer Interaction. bisacsh EPUB 9781683924692 print 9781683924708 https://www.degruyter.com/isbn/9781683924685 Cover https://www.degruyter.com/document/cover/isbn/9781683924685/original |
language |
English |
format |
eBook |
author |
Campesato, Oswald, Campesato, Oswald, |
spellingShingle |
Campesato, Oswald, Campesato, Oswald, Angular and Machine Learning Pocket Primer / Pocket Primer Frontmatter -- Contents -- Preface -- 1. Quick Introduction to Angular -- 2. UI Controls, User Input, and Pipes -- 3. Forms and Services -- 4. Intro to Machine Learning -- 5. Working with Classifiers -- 6. Angular and TensorFlow.js -- Introduction to Keras -- Index |
author_facet |
Campesato, Oswald, Campesato, Oswald, |
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VerfasserIn VerfasserIn |
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Campesato, Oswald, |
title |
Angular and Machine Learning Pocket Primer / |
title_full |
Angular and Machine Learning Pocket Primer / Oswald Campesato. |
title_fullStr |
Angular and Machine Learning Pocket Primer / Oswald Campesato. |
title_full_unstemmed |
Angular and Machine Learning Pocket Primer / Oswald Campesato. |
title_auth |
Angular and Machine Learning Pocket Primer / |
title_alt |
Frontmatter -- Contents -- Preface -- 1. Quick Introduction to Angular -- 2. UI Controls, User Input, and Pipes -- 3. Forms and Services -- 4. Intro to Machine Learning -- 5. Working with Classifiers -- 6. Angular and TensorFlow.js -- Introduction to Keras -- Index |
title_new |
Angular and Machine Learning Pocket Primer / |
title_sort |
angular and machine learning pocket primer / |
series |
Pocket Primer |
series2 |
Pocket Primer |
publisher |
Mercury Learning and Information, |
publishDate |
2020 |
physical |
1 online resource (262 p.) Issued also in print. |
contents |
Frontmatter -- Contents -- Preface -- 1. Quick Introduction to Angular -- 2. UI Controls, User Input, and Pipes -- 3. Forms and Services -- 4. Intro to Machine Learning -- 5. Working with Classifiers -- 6. Angular and TensorFlow.js -- Introduction to Keras -- Index |
isbn |
9781683924685 9781683924692 9781683924708 |
url |
https://www.degruyter.com/isbn/9781683924685 https://www.degruyter.com/document/cover/isbn/9781683924685/original |
illustrated |
Illustrated |
work_keys_str_mv |
AT campesatooswald angularandmachinelearningpocketprimer |
status_str |
n |
ids_txt_mv |
(DE-B1597)653500 |
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Angular and Machine Learning Pocket Primer / |
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1775793046413115392 |
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