Knygos.lt nariams
Knygos.lt nariams
- Išsiųsime per 12–18 d.d.
/images/books/11814537/9781683924708.jpg)
- Autorius: Oswald Campesato
- Leidėjas: Mercury Learning and Information
- ISBN-10: 1683924703
- ISBN-13: 9781683924708
- Formatas: 15.2 x 22.6 x 1.5 cm, minkšti viršeliai
- Kalba: Anglų
Angular and Machine Learning Pocket Primer (el. knyga) (skaityta knyga) | knygos.lt
Atsiliepimai
Aprašymas
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 (Also available from the publisher for downloading by writing to [email protected])
- Autorius: Oswald Campesato
- Leidėjas: Mercury Learning and Information
- ISBN-10: 1683924703
- ISBN-13: 9781683924708
- Formatas: 15.2 x 22.6 x 1.5 cm, minkšti viršeliai
- Kalba: Anglų
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 (Also available from the publisher for downloading by writing to [email protected])
Atsiliepimai