Machine Learning is a field of Artificial Intelligence that enables computers to learn from data and make predictions without being explicitly programmed. It uses algorithms to identify patterns in data and make decisions based on those patterns.
Machine Learning is a field of Artificial Intelligence (AI) that focuses on the development of computer programs that can learn and adapt to changing data and environments. It is a subset of AI that uses algorithms to learn from data and make predictions or decisions without being explicitly programmed. Machine Learning algorithms are used to identify patterns in data and make predictions or decisions based on those patterns.
Machine Learning algorithms can be divided into two main categories: supervised learning and unsupervised learning. Supervised learning algorithms are used to classify data into categories or to predict future outcomes based on past data. Unsupervised learning algorithms are used to identify patterns in data without any prior knowledge or labels.
Machine Learning algorithms are used in a variety of applications, such as image recognition, natural language processing, and robotics. They are also used in predictive analytics, which is the process of using data to make predictions about future events. Machine Learning algorithms are also used in recommendation systems, which are used to suggest products or services to customers based on their past behavior.
Overall, Machine Learning is a powerful tool for making predictions and decisions based on data. It is used in a variety of applications and is becoming increasingly important in the modern world.