Model deployment is the process of integrating a machine learning model into a production environment where it can take in an input and return an output.
Natural language processing (NLP) is a branch of artificial intelligence that provides a framework for computers to understand and interpret human language.
Reinforcement learning relies on an agent learning to determine accurate solutions from its own actions and the results produced in a contained environment.
Machine learning algorithms fuel machine learning models. They consist of three parts: a decision process, an error function and a model optimization process.
Non-maximum suppression (NMS) is a post-processing technique that is used in object detection tasks to eliminate duplicate detections and select bounding boxes.
A plethora of cost-effective machine learning solutions put the power of these tools at your fingertips. Our expert shares some ways small business owners can take advantage of them.
