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AWS Certified Machine Learning Engineer Study Guide
- Associate (MLA-C01) Exam
Engelsk
Bogcover for AWS Certified Machine Learning Engineer Study Guide af Dario Cabianca, 9781394319954
Specifikationer
Sprog:
Engelsk
Sider:
448
ISBN-13:
9781394319954
Indbinding:
Paperback
ISBN-10:
1394319959
Kategori:
Udg. Dato:
23 jun 2025
Størrelse i cm:
18,8 x 23,6 x 3,1
Oplagsdato:
23 jun 2025
Forfatter(e):

AWS Certified Machine Learning Engineer Study Guide

- Associate (MLA-C01) Exam
Engelsk
Paperback 2025
Format:

Bog beskrivelse
Prepare for the AWS Machine Learning Engineer exam smarter and faster and get job-ready with this efficient and authoritative resource In AWS Certified Machine Learning Engineer Study Guide: Associate (MLA-C01) Exam, veteran AWS Practice Director at Trace3—a leading IT consultancy offering AI, data, cloud and cybersecurity solutions for clients across industries—Dario Cabianca delivers a practical and up-to-date roadmap to preparing for the MLA-C01 exam. You'll learn the skills you need to succeed on the exam as well as those you need to hit the ground running at your first AI-related tech job. You'll learn how to prepare data for machine learning models on Amazon Web Services, build, train, refine models, evaluate model performance, deploy and secure your machine learning applications against bad actors. Inside the book: Complimentary access to the Sybex online test bank, which includes an assessment test, chapter review questions, practice exam, flashcards, and a searchable key term glossaryStrategies for selecting and justifying an appropriate machine learning approach for specific business problems and identifying the most efficient AWS solutions for those problemsPractical techniques you can implement immediately in an artificial intelligence and machine learning (AI/ML) development or data science role Perfect for everyone preparing for the AWS Certified Machine Learning Engineer -- Associate exam, AWS Certified Machine Learning Engineer Study Guide is also an invaluable resource for those preparing for their first role in AI or data science, as well as junior-level practicing professionals seeking to review the fundamentals with a convenient desk reference.
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Specifikationer
Sprog:
Engelsk
Sider:
448
ISBN-13:
9781394319954
Indbinding:
Paperback
ISBN-10:
1394319959
Kategori:
Udg. Dato:
23 jun 2025
Størrelse i cm:
18,8 x 23,6 x 3,1
Oplagsdato:
23 jun 2025
Forfatter(e):
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