Mastering Machine Learning on Aws

Master machine learning techniques with R to deliver insights in complex projects!

Learn to Build, Train & Deploy Machine Learning Models on AWS

Master AWS Machine Learning with comprehensive lessons and hands-on projects to transform data into actionable insights.

You can use machine learning for data analysis without mastering a lot of complex math, frameworks, and coding techniques. Machine learning services hosted on the Amazon Web Services cloud platform are a perfect way to get started even if you've never built a machine learning model before. This interactive liveVideo course gives you a crash course in using AWS for machine learning, teaching you how to build a fully-working predictive algorithm.

This book is your comprehensive guide to creating powerful, end-to-end deep learning workflows on Amazon Web Services (AWS). The book explores how to integrate essential big data tools and technologies―such as PySpark, PyTorch, TensorFlow, Airflow, EC2, and S3―to streamline the development, training, and deployment of deep learning models.

Unlock the Power of AWS SageMaker: Mastering Fundamentals and Advancing Your Skills

Unlock the future with AI — from foundational concepts to practical AWS deployment in one comprehensive course.

Deploying and Managing Web Apps with AWS Elast, Managing AWS Storage, and Utilizing AWS Networking and Development Tools