Название: AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam Автор: Shreyas Subramanian, Stefan Natu Издательство: Sybex Год: 2022 Страниц: 352 Язык: английский Формат: pdf (true), epub (true) Размер: 15.7 MB, 10.1 MB
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.
Machine learning (ML) is one of the most popular and rapidly growing fields in the technology industry today, with far-reaching business implications. The market for ML solutions and products is expected to grow annually by tens of billions of dollars, and with it, the demand for professionals who understand how to analyze data and build ML solutions is expected to grow as well. ML is a highly technical field, and successful ML professionals need a foundation in mathematics, statistics, and data analysis. They must be able to code and have a fundamental understanding of infrastructure and software development best practices. In the past, the practitioners of machine learning were academics and PhDs, but the industry demand for ML is much larger than the supply of new PhDs emerging from academic institutions.
The purpose of this book is for you to understand the concepts and principles behind ML, with the practical goal of passing the AWS Certified Machine Learning Specialty exam. As practicing ML solution architects, we go well beyond the scope of the test in this book and incorporate architecture patterns and best practices that we have seen employed in the industry today. Reading this book will also give you an understanding of what is required to be a successful Machine Learning architect.
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 (AI) and Machine Learning (ML) 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.
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