AWS Certified Machine Learning Study Guide: Specialty (Mls-C01) Exam
| AUTHOR | Natu, Stefan; Subramanian, Shreyas |
| PUBLISHER | Sybex (12/29/2021) |
| PRODUCT TYPE | Paperback (Paperback) |
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.
Your complete Guide to Preparing for the AWS Certified Machine Learning exam
The AWS Certified Machine Learning Study Guide is your one-stop resource for complete coverage of the Specialty MLS-C01 certification exam. This Sybex Study Guide covers 100% of the MLS-C01 domain competencies. Prepare for the exam smarter and faster with Sybex thanks to efficient and accurate content, including hundred of practice questions that validate and measure exam readiness, real-world examples and scenarios, practical exercises, and challenging chapter reviews. Access the Sybex online learning environment and test bank 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 Engineering
- Exploratory Data Analysis
- Modeling
- Machine Learning Implementation and Operations
ABOUT THE AWS MACHINE LEARNING SPECIALTY CERTIFICATION
The AWS Certified Machine Learning - Specialty (MLS-C01) exam is intended for individuals who perform an artificial intelligence/machine learning (AI/ML) development or data science role. The exam validates a candidate's ability to design, build, deploy, optimize, train, tune, and maintain ML solutions for given business problems by using the AWS Cloud. Visit https: //aws.amazon.com/certification/ for more information.
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 www.wiley.com/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 helps you to identify areas where further review is needed. Get more than 90% of the answers correct, and you're ready to take the certification exam.
- Electronic flashcards 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
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.
