Machine Learning vs. AI: What's the Difference?

Every time Netflix recommends a new binge-worthy show for you, or Amazon suggests a related product, or Google helps you find the name of that one actor that was on the tip of your tongue, you're experiencing machine learning at work. All of these real-world applications use a subset of artificial intelligence technology to find patterns, solve problems, and accomplish tasks. But although machine learning, deep learning, and artificial intelligence (AI) are related, the differences between them can be confusing. In this post, we'll break down the differences in these exciting technologies in plain language, and explore how they're relevant to your business. Let's start with some definitions: Artificial intelligence is the study of how to build programs that can solve problems in a similar way to humans; it's about replicating human problem-solving and intelligence in machines. When working to develop AI, scientists quickly realized that teaching an AI every single thing it needed to know to perform its intended function was a non-starter.