Use Cases

Random Picks

• Model Refinement: Model refinement is the process of improving the performance of a machine learning model by making adjustments to its parameters, hyperparameters, or architecture. It involves fine-tuning the model to achieve better accuracy, precision, rec ... Read More >>
• Fraud Detection: Fraud detection is the process of identifying and preventing fraudulent activities in a system or organization. In data science and artificial intelligence, fraud detection involves the use of statistical models and machine learning algorit ... Read More >>
• Continuous Testing: Continuous Testing is the process of executing automated tests as part of the software delivery pipeline to obtain immediate feedback on the business risks associated with a software release candidate. It involves testing early, testing oft ... Read More >>