Angular and Machine Learning Pocket Primer

Oswald Campesato (Autor)

Buch | Softcover

262 Seiten

2020
Mercury Learning & Information (Verlag)
978-1-68392-470-8 (ISBN)

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Presents a short tour of basic Angular functionality, such as UI components and forms in Angular applications; introduces machine learning concepts; cpvers classification algorithms, such as kNN, and Naïve Bayes; and introduces basic TensorFlow concepts.

Campesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning, Java, Android, TensorFlow, and NLP. He is the author/co-author of over twenty-five books including TensorFlow 2 Pocket Primer, Python 3 for Machine Learning, and the NLP Using R Pocket Primer (all Mercury Learning and Information).

1: Quick Introduction to Angular
2: UI Controls, User Input, and Pipe
3: Forms and Services
4: Introduction to Machine Learning
5: Working with Classifiers
6: Angular and TensorFlow .js
Appendix: Introduction to Keras.

Erscheinungsdatum	29.04.2020
Reihe/Serie	Pocket Primer
Sprache	englisch
Gewicht	399 g
Themenwelt	Informatik ► Software Entwicklung ► User Interfaces (HCI)
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
ISBN-10	1-68392-470-3 / 1683924703
ISBN-13	978-1-68392-470-8 / 9781683924708
Zustand	Neuware