The term “artificial intelligence” (AI) has been around since 1956.
Scientists found that it was more efficient to teach computers to learn than to program every skill needed to perform every task. This became known as machine learning.
Deep learning is a subset of machine learning that uses neural networks, which is a set of algorithms modeled on the human brain.
This enabled AI to tackle even bigger problems.
Voice recognition, improved medical diagnosis and self-driving cars are examples of machine learning.
Machine learning and deep learning have the potential to improve every aspect of business and the economy.
However, AI can be hard to implement alone. It’s also computational intensive and expensive.
Amazon Web Services (AWS) presents itself as the solution to these problems.
Amazon SageMaker is their specific solution to getting started with and using AI.
Developers can use whichever deep learning frameworks they are familiar, including TensorFlow, PyTorch and MXNet.
Any business can accelerate machine learning in the cloud with AWS.