AWS Certified Machine Learning Study Guide

Download or read book AWS Certified Machine Learning Study Guide written by Shreyas Subramanian and published by Sybex. This book was released on 2021-12-14 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by an AWS subject-matter experts, the AWS Certified Machine Learning Study Guide: Specialty (MLS-C01) Exam is intended for individuals who perform a development or data science role. The exam validates a person's ability to build, train, tune, and deploy machine learning (ML) models using the AWS Cloud. It also validates a person's ability to design, implement, deploy, and maintain ML solutions for given business problems, specifically in the areas of identifying appropriate AWS services to implement ML solutions, selecting and justifying the appropriate ML approach for a given business problem, and designing and implementing scalable, cost-optimized, reliable, and secure ML solutions. This Study Guide covers exam concepts, and provides key review on exam topics: Data Engineering Exploratory Data Analysis Modeling Machine Learning Implementation and Operations This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS cloud. AWS is the frontrunner in cloud computing products and services, and the AWS Certified Machine Learning Study Guide will get you fully prepared through expert content, and real-world knowledge, key exam essentials, chapter review questions, and much more. Readers will also have access to Sybex's superior online interactive learning environment and test bank, including hundreds of review questions, practice exams, and electronic flashcards, and a glossary of key terms.