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Angular and Machine Learning Pocket Primer - Pocket Primer Oswald Campesato
Angular and Machine Learning Pocket Primer - Pocket Primer
Oswald Campesato
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 Naive Bayes; and introduces basic TensorFlow concepts.
200 pages
| Media | Books Paperback Book (Book with soft cover and glued back) |
| Released | April 25, 2020 |
| ISBN13 | 9781683924708 |
| Publishers | Mercury Learning & Information |
| Pages | 200 |
| Dimensions | 150 × 220 × 10 mm · 408 g |
| Language | English |
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