Choosing the right Machine Learning algorithm is a tough task as it plays a major part in the success of your AI project. You have to choose over a range of factors before deciding on the one that best suits your use case or business problem. In this blog, we will take you through a […]

Data Annotation is the process of attaching labels to datasets that are used for training machines. About 80% of Artificial Intelligence project development time is spent on data preparation. The success of any AI or Machine Learning project is directly proportional to the quality of the annotated data fed to the algorithms for training them. […]

Data Labeling is one of the key factors that determine the quality of a machine learning project. Although data labelling tasks are time-consuming and can get very complex, by selecting the right approach, your machine learning project can steer clear of any quality or accuracy hurdles. In this blog, we have listed out 5 data […]

Huge advances in the field of Artificial Intelligence (AI) has led to the rise of machines that can learn and perform on their own. But these machine-driven systems tend to fall short when it comes to achieving acceptable accuracy rates. The combination of machines-based classification enhanced by human feedback is the best approach to develop […]