Introduction to AWS Machine Learning Services
Explore AWS machine learning services and understand how they empower developers to build intelligent applications using pretrained AI models. Learn about the core capabilities, business use cases, and benefits of AWS ML offerings that simplify complex data processing and reduce costs.
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Traditionally, programming approaches struggled to cope with the complexities of real-world data and decision-making processes. This led to limitations such as increased costs, inaccurate results, and increased chances of errors, even for the simplest tasks like language translation and image analysis.
Machine learning emerged to fill this gap by empowering machines to learn and adapt from data and past experiences. With machine learning, computers can now be programmed to provide optimal solutions, at a quarter of previous costs.
AWS offers a comprehensive suite of machine learning services that facilitate the development of applications and data processing. With these services, developers can unlock the full potential of machine learning in the cloud and leverage tools to streamline manual processes.
AWS machine learning services enable users to fulfill their business requirements accurately, effectively, and economically. Without needing machine learning expert skills, developers can add intelligence to their applications with pretrained AI models. In this chapter, we will learn about the different machine-learning services offered by AWS.
We will learn what each AWS machine learning service offers, its core capabilities and functionalities. We will also understand how does the service addresses different business needs that traditional technologies could not. We will explore the use cases, benefits, and prices of services as well.