Tag: AutoML

AutoML: Present and Future

AutoML (Automated Machine Learning) refers to the process of automating the machine learning pipeline, including tasks such as model selection, hyperparameter tuning, and architecture design. The goal of AutoML is to make building and deploying ML models easier and more accessible to non-expert users. To achieve this goal, a number of AutoML libraries have been […]

Exploring the Future of Automated Decision-Making

Automated decision-making refers to the use of technology, such as algorithms and machine learning models, to make decisions without human intervention. These decisions can be made based on data analysis, patterns, and other inputs. Automated decision-making systems can be used in a variety of industries and for a wide range of tasks, such as fraud […]