Machine learning (ML) and deep learning (DL) are two subfields of artificial intelligence (AI). While they share similarities, there are some critical differences between the two. Machine learning involves training algorithms to make predictions or decisions based on data inputs. It focuses on developing algorithms to learn from data and improve accuracy over time. Machine learning algorithms typically use statistical techniques to identify patterns in the data and make predictions or decisions based on those patterns. Deep learning is a subset of machine learning that uses artificial neural networks to model complex relationships in data. Deep learning algorithms use multiple layers of interconnected nodes to learn and classify data inputs. It has effectively solved complex problems such as image and speech recognition. We offer both Machine Learning and Deep Learning services. We use a combination of the two techniques to solve specific business problems, depending on the nature of the data and the problem at hand. By leveraging machine learning and deep learning, we can create more accurate and practical solutions that meet client's business needs.