Machine learning is a subfield of artificial intelligence (AI) concerned with the design and development of algorithms that can learn patterns and insights from data. In other words, machine learning algorithms automatically improve their performance as they are exposed to more data, making them highly adaptable and effective for complex tasks. There are three main types of machine learning:

• 1. Supervised learning: algorithms learn from labeled training data to make predictions or classify new data.
• 2. Unsupervised learning: algorithms learn from unlabeled data to find hidden patterns or structure in the data.
• 3. Reinforcement learning: algorithms learn by taking actions in an environment and receiving rewards or penalties.

Machine learning has numerous applications, including image and speech recognition, natural language processing, predictive modeling, and recommendation systems.