Machine Learning an Overview

Machine Learning is a branch of Artificial Intelligence That allows machines to learn and improve from experience automatically. It is defined as the field of study that gives Computers the capability to learn without being explicitly programmed. It is quite different than traditional programming. AI (Artificial Intelligence) is a machine’s ability to perform Cognitive functions as humans do, such as perceiving, learning, reasoning, and solving problems. The benchmark for AI is the human level concerning in teams of reasoning, speech, and vision. Machine learning is important because it gives enterprises a view of trends in customer behavior and business operational patterns, as well as supports the development of new products. Many of today's leading companies, such as Facebook, Google and Uber, make machine learning a central part of their operations. The life of Machine Learning programs is straight forward and can be summarized in the following points . Define a question 2. Collect data 3. Visualize data 4. Train algorithm 5. Test the Algorithm 6. Collect feedback 7. Refine the algorithm Loop 4-7 until the results are satisfying Classical machine learning is often categorized by How an algorithm learns to become more accurate in its predictions. There are four basic approaches Supervised learning, Unsupervised learning, Semi-supervised learning and Reinforcement learning.