We offer Machine Learning services that involve creating models using both supervised and unsupervised algorithms. In supervised learning, we train models using the input parameters, called features, and the outputs for each set of features. During this training, the model adjusts its function to match data. This way, the model is provided with the ability to automatically learn from the environment and apply that learning to make better decisions.

On the other hand, Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, speech recognition, translating languages, and making decisions. We use deep learning algorithms to train models for natural language processing systems for both extractive and abstractive text summarization. Deep learning uses multiple layers to process features, where each layer extracts only a specific piece of valuable information.