Tackling our world’s hardest problems with machine learning
AWS puts ML in the hands of every business analyst, data engineer, developer, data scientist, and expert practitioner. And every day, these individuals leverage and apply ML in new ways for the benefit of society. From decreasing carbon emissions to improving safety in the workplace, the methods by which today’s leaders apply ML reveal a tremendous opportunity to improve lives and the world in which we live.
What are artificial intelligence and machine learning?
You’ve probably heard artificial intelligence (AI) and ML described in several ways, so let’s take a step back and review their exact definitions:
AI is a way to describe any system that can replicate tasks that previously required human intelligence. Almost always, this is related to some complex decision-making task where human judgment would normally be required. Most use cases for AI are looking for a probabilistic outcome—making predictions, classifications, or decisions with a high degree of certainty and in ways that are similar to human judgment.
Almost all AI systems today are created using ML. ML uses large amounts of data to create and validate decision logic. This is known as a model. The AI system feeds input data into that model, and then the model outputs human-like predictions or classifications. Essentially, ML is the underlying technology that powers intelligent systems.
This article is posted at aws.amazon.com
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