Data leakage occurs when unexpected additional information infiltrates a training algorithm. Our expert explains what you need to look out for and how to solve this problem.
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.
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.
Because of its its fast convergence and robustness across problems, the Adam optimization algorithm is the default algorithm used for deep learning. Our expert explains how it works.
