AWS and Machine Learning—An Integrated Approach
Parul Dubey, Rohit Singh Raja · 2023
Chapter 8 explores the convergence of machine learning (ML) and cloud computing, highlighting the significant value derived from combining these two technologies. The chapter begins by discussing the simplicity brought by ML to the lives of developers. It then examines various aspects of ML, including its different types and deployment models. AWS, being a leading cloud provider, also offers ML deployment capabilities, which are thoroughly explained in this chapter. The chapter dives deep into different AWS services that leverage ML, such as Amazon SageMaker, Amazon Comprehend, Amazon Translate, Amazon Transcribe, and Amazon Panorama. It also acknowledges that, while some of these ML-driven tools can be accessed in the Amazon free tier, others are restricted for free tier usage. The chapter provides comprehensive insights into these services, highlighting their functionalities and use cases. By combining the power of ML and the capabilities of AWS, developers can harness advanced ML technologies and services to enhance their applications and processes. This chapter equips readers with a thorough understanding of the intersection of ML and cloud computing, enabling them to leverage AWS services for ML-driven applications effectively.