What is Machine learning?
Machine learning - a branch of artificial intelligence that allows systems to learn and improve from experience without being explicitly programmed. In other words, machines can automatically learn and adapt through algorithms and statistical models. This technology has gained significant attention in recent years due to its potential applications in various fields such as finance, healthcare, and transportation.
The process of machine learning involves feeding data into an algorithm which then analyzes it to identify patterns or trends. The algorithm then uses this information to make predictions or decisions without human intervention. This allows businesses to automate processes and make more informed decisions based on the data.
There are three main types of machine learning: supervised learning, unsupervised learning, and reinforcement learning. Supervised learning involves providing the algorithm with labeled data so it can learn from examples. Unsupervised learning involves analyzing unlabeled data to find hidden patterns or structures. Reinforcement learning involves training an agent to interact with an environment by rewarding desired behaviors.