DEVELOPMENT SETS IN MACHINE LEARNING

Jim Bergeson, CEO of Bridgz Marketing Group in Minneapolis said, “Data will talk to you if you are willing to listen”. And that’s right, holding data accountable for all your answers is the way to go and a machine learning system believes just that, it learns from data and runs on it. A machine or model uses data to find, train, and optimize itself and build high prediction and generalization capabilities required to solve a specific problem. One of the types of dataset used is Validation dataset or dev set or development set

Surveys of machine learning developers and data scientists have shown that the data collection and preparation steps can take up to 80% of a machine learning project’s time. 

Source: SearchEnterpriseAI

A machine learning model creation step involves training the model and then testing it. It starts with an idea, according to which the raw data is collected for the model and then data processing for AI and ML algorithms takes place which converts the data into a form that can be used by the model to learn. Once the model is built to solve a specific problem, it is tested until the model gives satisfying results…..Read more- DEVELOPMENT SETS IN MACHINE LEARNING