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Prepare for the AWS Machine Learning Engineer certification exam quickly and efficiently
The AWS® Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the challenging MLA-C01 exam. This Sybex Study Guide covers all of the MLA-C01 objectives. Prepare for the exam smarter and faster with Sybex thanks to up-to-date and accurate content, including an assessment test that validates and measures exam readiness, an objective map, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and remember what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the AWS Certified Machine Learning exam with Sybex.
Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:
- Data and Feature Engineering
- Data Science
- Model Development and Refinement
- Model Deployment and Orchestration
- Machine Learning Operations
- AWS AI Solutions
- DevOps Engineering
ABOUT THE AWS MACHINE LEARNING ENGINEER - ASSOCIATE CERTIFICATION
The AWS Machine Learning Engineer - Associate certification demonstrates your ability to implement AI and ML solutions in the Amazon Web Services cloud. It tests and verifies your expertise in designing, building, training, tuning, and deploying machine learning models on AWS.
Interactive learning environment
Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit [...] go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to:
- Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam.
- 100 electronic flashcards to reinforce learning and last-minute prep before the exam
- Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared
Prepare for the AWS Machine Learning Engineer certification exam quickly and efficiently
The AWS® Certified Machine Learning Engineer Study Guide is a comprehensive resource for complete coverage of the challenging MLA-C01 exam. This Sybex Study Guide covers all of the MLA-C01 objectives. Prepare for the exam smarter and faster with Sybex thanks to up-to-date and accurate content, including an assessment test that validates and measures exam readiness, an objective map, real-world examples and scenarios, practical exercises, and challenging chapter review questions. Reinforce and remember what you've learned with the Sybex online learning environment and test bank, accessible across multiple devices. Get prepared for the AWS Certified Machine Learning exam with Sybex.
Coverage of 100% of all exam objectives in this Study Guide means you'll be ready for:
- Data and Feature Engineering
- Data Science
- Model Development and Refinement
- Model Deployment and Orchestration
- Machine Learning Operations
- AWS AI Solutions
- DevOps Engineering
ABOUT THE AWS MACHINE LEARNING ENGINEER - ASSOCIATE CERTIFICATION
The AWS Machine Learning Engineer - Associate certification demonstrates your ability to implement AI and ML solutions in the Amazon Web Services cloud. It tests and verifies your expertise in designing, building, training, tuning, and deploying machine learning models on AWS.
Interactive learning environment
Take your exam prep to the next level with Sybex's superior interactive online study tools. To access our learning environment, simply visit [...] go/sybextestprep, register your book to receive your unique PIN, and instantly gain one year of FREE access after activation to:
- Interactive test bank with a practice exam to help you identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam.
- 100 electronic flashcards to reinforce learning and last-minute prep before the exam
- Comprehensive glossary in PDF format gives you instant access to the key terms so you are fully prepared
ABOUT THE AUTHOR
DARIO CABIANCA is the AWS Practice Director at Trace3-a leading IT consultancy and AWS Advanced Consulting Partner-offering AI, data, cloud and cybersecurity solutions. He is the author of Google Cloud Platform (GCP) Professional Cloud Security Engineer Certification Companion and Google Cloud Platform (GCP) Professional Cloud Network Engineer Certification Companion. Dario has collaborated with leading global consulting firms and enterprises for over 20 years, delivering impactful solutions in enterprise architecture, cloud computing, cybersecurity, and artificial intelligence.
Acknowledgments ix
About the Author xi
About the Technical Editor xiii
Introduction xv
The AWS Certified Machine Learning Engineer - Associate Exam xv
Who Should Buy This Book xviii
Study Guide Features xviii
AWS Certified Machine Learning Engineer Exam Objectives xix
Assessment Test xxvii
Answers to Assessment Test xxxii
Chapter 1 Introduction to Machine Learning 1
Chapter 2 Data Ingestion and Storage 27
Chapter 3 Data Transformation and Feature Engineering 61
Chapter 4 Model Selection 105
Chapter 5 Model Training and Evaluation 185
Chapter 6 Model Deployment and Orchestration 237
Chapter 7 Model Monitoring and Cost Optimization 297
Chapter 8 Model Security 331
Appendix A Answers to the Review Questions 355
Appendix B Mathematics Essentials 373
Index 391
| Erscheinungsjahr: | 2025 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Reihe: | Sybex Study Guide |
| Inhalt: | Einband - flex.(Paperback) |
| ISBN-13: | 9781394319954 |
| ISBN-10: | 1394319959 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Cabianca, Dario |
| Hersteller: |
Wiley John + Sons
Sybex |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 230 x 185 x 24 mm |
| Von/Mit: | Dario Cabianca |
| Erscheinungsdatum: | 23.06.2025 |
| Gewicht: | 0,804 kg |