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AWS Certified Machine Learning Engineer Study Guide

Associate (Mla-C01) Exam

Dario Cabianca
Livre broché | Anglais | Sybex Study Guide
104,45 €
+ 208 points
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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.

Spécifications

Parties prenantes

Auteur(s) :
Editeur:

Contenu

Nombre de pages :
448
Langue:
Anglais
Collection :

Caractéristiques

EAN:
9781394319954
Date de parution :
25-06-25
Format:
Livre broché
Format numérique:
Trade paperback (VS)
Dimensions :
188 mm x 231 mm
Poids :
639 g

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