Author | : Josh Patterson |
Publisher | : "O'Reilly Media, Inc." |
Total Pages | : 331 |
Release | : 2020-12-04 |
ISBN 10 | : 9781492053224 |
ISBN 13 | : 1492053228 |
Language | : EN, FR, DE, ES & NL |
Language: en
Pages: 331
Pages: 331
Building models is a small part of the story when it comes to deploying machine learning applications. The entire process involves developing, orchestrating, de
Language: en
Pages: 0
Pages: 0
When deploying machine learning applications, building models is only a small part of the story. The entire process involves developing, orchestrating, deployin
Language: en
Pages: 225
Pages: 225
When deploying machine learning applications, building models is only a small part of the story. The entire process involves developing, orchestrating, deployin
Language: en
Pages: 366
Pages: 366
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Ha
Language: en
Pages: 524
Pages: 524
With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. Th
Language: en
Pages: 264
Pages: 264
If you're training a machine learning model but aren't sure how to put it into production, this book will get you there. Kubeflow provides a collection of cloud
Language: en
Pages: 703
Pages: 703
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You
Language: en
Pages: 367
Pages: 367
Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Ha
Language: de
Pages: 232
Pages: 232
Neuronale Netze sind Schlüsselelemente des Deep Learning und der Künstlichen Intelligenz, die heute zu Erstaunlichem in der Lage sind. Dennoch verstehen nur w
Language: en
Pages: 245
Pages: 245
Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-pu