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.
Confidence intervals are always a headache to explain to other data scientists, let alone to a person without a background in statistics. So let’s try to do it ... without the jargon.
