
AWS Certified Machine Learning Engineer Study Guide
Associate (MLA-C01) Exam
- 451 pages
- English
- PDF
- Available on iOS & Android
About this book
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.
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Information
Table of contents
- Cover
- Half Title Page
- Title Page
- Copyright
- Contents at a Glance
- Contents
- Acknowledgments
- About the Author
- About the Technical Editor
- Introduction
- Assessment Test
- Answers to Assessment Test
- Chapter 1: Introduction to Machine Learning
- Chapter 2: Data Ingestion and Storage
- Chapter 3: Data Transformation and Feature Engineering
- Chapter 4: Model Selection
- Chapter 5: Model Training and Evaluation
- Chapter 6: Model Deployment and Orchestration
- Chapter 7: Model Monitoring and Cost Optimization
- Chapter 8: Model Security
- Appendix A: Answers to the Review Questions
- Appendix B: Mathematics Essentials
- Index
- EULA