Angular and Machine Learning Pocket Primer is popular PDF and ePub book, written by Oswald Campesato in 2020-03-27, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Angular and Machine Learning Pocket Primer can be Read Online from any device for your convenience.
Angular and Machine Learning Pocket Primer Book PDF Summary
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 applications Includes source code and full color figures
Detail Book of Angular and Machine Learning Pocket Primer PDF
- Author : Oswald Campesato
- Release : 27 March 2020
- Publisher : Mercury Learning and Information
- ISBN : 9781683924692
- Genre : Computers
- Total Page : 261 pages
- Language : English
- PDF File Size : 8,5 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Angular and Machine Learning Pocket Primer by Oswald Campesato, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.