SKU/Artículo: AMZ-B0DSV5KC9G

Amazon AWS Certified Machine Learning – Associate (MLA-C01) Exam Guide

Format:

Paperback

Hardcover

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.65 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • The Amazon AWS Certified Machine Learning – Associate (MLA-C01) Exam Guide is a comprehensive resource designed to help individuals prepare for the AWS Certified Machine Learning – Associate exam. This book provides a detailed, step-by-step approach to understanding AWS services and their application in machine learning (ML). The guide is structured into clearly defined sections, each focused on a core aspect of machine learning on AWS, from foundational concepts to advanced topics like model training, deployment, and cost optimization.The book begins by outlining the AWS Certified Machine Learning – Associate exam objectives, helping readers understand the exam format, key domains, and the resources needed to succeed. It then covers critical machine learning concepts, including supervised, unsupervised, and reinforcement learning, and dives into the essential AWS machine learning services like SageMaker, Rekognition, Polly, and Translate.Next, the book walks readers through the data preparation and feature engineering stages, offering practical techniques for data cleaning, normalization, and feature scaling. It provides in-depth coverage of building, training, and tuning models using SageMaker, including hands-on guidance for selecting appropriate algorithms, leveraging hyperparameter optimization, and utilizing distributed training resources like EC2 spot instances and Elastic Inference.The guide also emphasizes the importance of model deployment, monitoring, and security best practices. Readers will learn how to deploy models for real-time and batch inference, monitor model performance, and optimize cost using tools like CloudWatch and SageMaker Debugger. The book concludes with strategies for securing machine learning workloads, ensuring scalability, and minimizing costs, giving readers the necessary knowledge to deploy effective machine learning solutions on AWS.Overall, this book is a must-read for anyone looking to pass the AWS Certified Machine Learning – Associate exam while gaining hands-on experience with AWS's powerful machine learning services.
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