Book description
Succeed on the AWS Machine Learning exam or in your next job as a machine learning specialist on the AWS Cloud platform with this hands-on guide
As the most popular cloud service in the world today, Amazon Web Services offers a wide range of opportunities for those interested in the development and deployment of artificial intelligence and machine learning business solutions.
The AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam delivers hyper-focused, authoritative instruction for anyone considering the pursuit of the prestigious Amazon Web Services Machine Learning certification or a new career as a machine learning specialist working within the AWS architecture.
From exam to interview to your first day on the job, this study guide provides the domain-by-domain specific knowledge you need to build, train, tune, and deploy machine learning models with the AWS Cloud. And with the practice exams and assessments, electronic flashcards, and supplementary online resources that accompany this Study Guide, you’ll be prepared for success in every subject area covered by the exam.
You’ll also find:
- An intuitive and organized layout perfect for anyone taking the exam for the first time or seasoned professionals seeking a refresher on machine learning on the AWS Cloud
- Authoritative instruction on a widely recognized certification that unlocks countless career opportunities in machine learning and data science
- Access to the Sybex online learning resources and test bank, with chapter review questions, a full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms
AWS Certified Machine Learning Study Guide: Specialty (MLS-CO1) Exam is an indispensable guide for anyone seeking to prepare themselves for success on the AWS Certified Machine Learning Specialty exam or for a job interview in the field of machine learning, or who wishes to improve their skills in the field as they pursue a career in AWS machine learning.
Table of contents
- Cover
- Title Page
- Copyright
- Dedication
- Acknowledgments
- About the Authors
- About the Technical Editor
- Introduction
- Assessment Test
- Answers to Assessment Test
- PART I: Introduction
- PART II: Phases of Machine Learning Workloads
- PART III: Machine Learning Well-Architected Lens
-
Appendix Answers to the Review Questions
- Chapter 1: AWS AI ML Stack
- Chapter 2: Supporting Services from the AWS Stack
- Chapter 3: Business Understanding
- Chapter 4: Framing a Machine Learning Problem
- Chapter 5: Data Collection
- Chapter 6: Data Preparation
- Chapter 7: Feature Engineering
- Chapter 8: Model Training
- Chapter 9: Model Evaluation
- Chapter 10: Model Deployment and Inference
- Chapter 11: Application Integration
- Chapter 12: Operational Excellence Pillar for ML
- Chapter 13: Security Pillar
- Chapter 14: Reliability Pillar
- Chapter 15: Performance Efficiency Pillar for ML
- Chapter 16: Cost Optimization Pillar for ML
- Index
- End User License Agreement
Product information
- Title: AWS Certified Machine Learning Study Guide
- Author(s):
- Release date: December 2021
- Publisher(s): Sybex
- ISBN: 9781119821007
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