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Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

Af: Pratap Ramamurthy, Mona Mona Engelsk Paperback

Official Google Cloud Certified Professional Machine Learning Engineer Study Guide

Af: Pratap Ramamurthy, Mona Mona Engelsk Paperback
Tjek vores konkurrenters priser
Expert, guidance for the Google Cloud Machine Learning certification exam In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you’ll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments. The book also shows you how to: Frame ML problems and architect ML solutions from scratchBanish test anxiety by verifying and checking your progress with built-in self-assessments and other practical toolsUse the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cardsA can’t-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.
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Expert, guidance for the Google Cloud Machine Learning certification exam In Google Cloud Certified Professional Machine Learning Study Guide, a team of accomplished artificial intelligence (AI) and machine learning (ML) specialists delivers an expert roadmap to AI and ML on the Google Cloud Platform based on new exam curriculum. With Sybex, you’ll prepare faster and smarter for the Google Cloud Certified Professional Machine Learning Engineer exam and get ready to hit the ground running on your first day at your new job as an ML engineer. The book walks readers through the machine learning process from start to finish, starting with data, feature engineering, model training, and deployment on Google Cloud. It also discusses best practices on when to pick a custom model vs AutoML or pretrained models with Vertex AI platform. All technologies such as Tensorflow, Kubeflow, and Vertex AI are presented by way of real-world scenarios to help you apply the theory to practical examples and show you how IT professionals design, build, and operate secure ML cloud environments. The book also shows you how to: Frame ML problems and architect ML solutions from scratchBanish test anxiety by verifying and checking your progress with built-in self-assessments and other practical toolsUse the Sybex online practice environment, complete with practice questions and explanations, a glossary, objective maps, and flash cardsA can’t-miss resource for everyone preparing for the Google Cloud Certified Professional Machine Learning certification exam, or for a new career in ML powered by the Google Cloud Platform, this Sybex Study Guide has everything you need to take the next step in your career.
Produktdetaljer
Sprog: Engelsk
Sider: 368
ISBN-13: 9781119944461
Indbinding: Paperback
Udgave:
ISBN-10: 1119944465
Udg. Dato: 14 dec 2023
Længde: 24mm
Bredde: 235mm
Højde: 187mm
Forlag: John Wiley & Sons Inc
Oplagsdato: 14 dec 2023
Forfatter(e): Pratap Ramamurthy, Mona Mona
Forfatter(e) Pratap Ramamurthy, Mona Mona


Kategori Kunstig intelligens


ISBN-13 9781119944461


Sprog Engelsk


Indbinding Paperback


Sider 368


Udgave


Længde 24mm


Bredde 235mm


Højde 187mm


Udg. Dato 14 dec 2023


Oplagsdato 14 dec 2023


Forlag John Wiley & Sons Inc