AWS Certified Machine Learning Engineer Study Guide

Associate (MLA-C01) Exam de

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Sybex


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Sybex Study Guide

Paru le : 2025-06-23

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Description

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 glossary Strategies for selecting and justifying an appropriate machine learning approach for specific business problems and identifying the most efficient AWS solutions for those problems Practical 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.
Pages
448 pages
Collection
Sybex Study Guide
Parution
2025-06-23
Marque
Sybex
EAN papier
9781394319954
EAN PDF
9781394319992

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
6707 Ko
Prix
54,12 €
EAN EPUB
9781394319978

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
448
Taille du fichier
25743 Ko
Prix
54,12 €