Your Machine Learning transformation starts here.
Machine learning is a subfield of artificial intelligence (AI) that involves teaching machines to learn from data and improve their performance over time. With machine learning, machines can automatically learn and improve their performance in tasks such as image recognition, speech recognition, natural language processing, and predictive analytics.
Machine learning algorithms can be divided into two main categories: supervised learning and unsupervised learning. In supervised learning, machines are trained on labeled data, where the correct output is known for each input. This allows the machine to learn to make accurate predictions or classifications for new, unseen data. In unsupervised learning, machines are trained on unlabeled data, where the correct output is not known. This allows the machine to discover patterns and structures in the data.