AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

Master the essential knowledge and skills required to pass the AWS Certified Machine Learning Specialty (MLS-C01) exam with this comprehensive guide. Designed for professionals looking to enhance their AWS machine learning expertise, this book provides you with the practical tools and techniques needed to succeed both in the exam and in real-world Machine Learning on AWS projects.

What this Book will help me do

• Develop an in-depth understanding of the four domains covered in the MLS-C01 exam.
• Master data preparations, handling missing data, and conducting exploratory data analysis on AWS.
• Understand and apply AWS's machine learning algorithms to solve problems like classification and regression.
• Gain insights into deploying machine learning pipelines and building intelligent API endpoints.
• Optimize and fine-tune hyperparameters for better model performance in a production environment.

Author(s)

None Nanda and None Moura are skilled professionals in AWS machine learning solutions. They bring their expertise in cloud-based machine learning and their educational insights to this book. Their goal is to provide learners with a clear, systematic approach to mastering AWS ML technology. With their practical tips and guidance, they ensure this book is both informative and easy to follow.

Who is it for?

This book is ideal for IT professionals and aspiring data scientists aiming to get AWS certified in machine learning. It caters to those with basic knowledge of machine learning and AWS services who are looking to advance their expertise. If you're someone who wants to pass the MLS-C01 certification on your first attempt while gaining substantial practical AWS ML knowledge, this book is for you.